Jure Leskovec | Academic Influence

Jure Leskovec's AcademicInfluence.com Rankings

Jure Leskovec

Computer Science

#1856

World Rank

#1927

Historical Rank

Data Mining

#15

World Rank

#15

Historical Rank

Machine Learning

#78

World Rank

#78

Historical Rank

Database

#129

World Rank

#132

Historical Rank

computer-science Degrees

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Computer Science

Jure Leskovec's Degrees

PhD Computer Science Carnegie Mellon University
Masters Computer Science University of Ljubljana
Bachelors Computer Science University of Ljubljana

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Why Is Jure Leskovec Influential?

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According to Wikipedia, Jure Leskovec is a Slovenian computer scientist, entrepreneur and associate professor of Computer Science at Stanford University focusing on networks. He was the chief scientist at Pinterest. Early life and education In 2004, Leskovec received a Diploma in Computer Science from the University of Ljubljana, Slovenia, researching semantic networks-based creation of abstracts, using machine learning; in 2008 he received a PhD in Computational and Statistical Learning from the Carnegie Mellon University.

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Jure Leskovec's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Inductive Representation Learning on Large Graphs (2017) (8038)
node2vec: Scalable Feature Learning for Networks (2016) (7701)
How Powerful are Graph Neural Networks? (2018) (3813)
{SNAP Datasets}: {Stanford} Large Network Dataset Collection (2014) (3117)
Friendship and mobility: user movement in location-based social networks (2011) (2801)
Graph evolution: Densification and shrinking diameters (2006) (2488)
Graphs over time: densification laws, shrinking diameters and possible explanations (2005) (2483)
Cost-effective outbreak detection in networks (2007) (2339)
The dynamics of viral marketing (2005) (2321)
Graph Convolutional Neural Networks for Web-Scale Recommender Systems (2018) (2211)
Defining and evaluating network communities based on ground-truth (2012) (1918)
Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters (2008) (1806)
Representation Learning on Graphs: Methods and Applications (2017) (1582)
Meme-tracking and the dynamics of the news cycle (2009) (1580)
Predicting positive and negative links in online social networks (2010) (1551)
Hidden factors and hidden topics: understanding rating dimensions with review text (2013) (1543)
Learning to Discover Social Circles in Ego Networks (2012) (1504)
Hierarchical Graph Representation Learning with Differentiable Pooling (2018) (1423)
Signed networks in social media (2010) (1320)
Sampling from large graphs (2006) (1210)
Inferring Networks of Diffusion and Influence (2010) (1183)
Open Graph Benchmark: Datasets for Machine Learning on Graphs (2020) (1126)
Supervised random walks: predicting and recommending links in social networks (2010) (1083)
Empirical comparison of algorithms for network community detection (2010) (1030)
Patterns of temporal variation in online media (2011) (1026)
Kronecker Graphs: An Approach to Modeling Networks (2008) (987)
Statistical properties of community structure in large social and information networks (2008) (962)
On the Opportunities and Risks of Foundation Models (2021) (938)
Mobility network models of COVID-19 explain inequities and inform reopening (2020) (935)
Higher-order organization of complex networks (2016) (832)
Overlapping community detection at scale: a nonnegative matrix factorization approach (2013) (820)
Microscopic evolution of social networks (2008) (812)
Community Detection in Networks with Node Attributes (2013) (763)
Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016) (736)
Modeling polypharmacy side effects with graph convolutional networks (2018) (727)
Human Decisions and Machine Predictions (2017) (697)
Epidemic thresholds in real networks (2008) (695)
Inferring Networks of Substitutable and Complementary Products (2015) (664)
SNAP: A General-Purpose Network Analysis and Graph-Mining Library (2016) (657)
Planetary-scale views on a large instant-messaging network (2008) (649)
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation (2018) (642)
Strategies for Pre-training Graph Neural Networks (2019) (621)
Large-scale physical activity data reveal worldwide activity inequality (2017) (614)
Interpretable Decision Sets: A Joint Framework for Description and Prediction (2016) (590)
Modeling Information Diffusion in Implicit Networks (2010) (569)
GNNExplainer: Generating Explanations for Graph Neural Networks (2019) (560)
WILDS: A Benchmark of in-the-Wild Distribution Shifts (2020) (559)
SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (2015) (554)
The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms (2008) (548)
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models (2018) (533)
Information diffusion and external influence in networks (2012) (532)
Learning to Simulate Complex Physics with Graph Networks (2020) (519)
Motifs in Temporal Networks (2016) (509)
Engaging with massive online courses (2014) (479)
Patterns of Cascading Behavior in Large Blog Graphs (2007) (443)
From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews (2013) (433)
Predicting multicellular function through multi-layer tissue networks (2017) (413)
Local Higher-Order Graph Clustering (2017) (413)
Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks (2008) (399)
Steering user behavior with badges (2013) (381)
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication (2005) (378)
Discovering value from community activity on focused question answering sites: a case study of stack overflow (2012) (367)
Patterns of Influence in a Recommendation Network (2006) (364)
Anyone Can Become a Troll: Causes of Trolling Behavior in Online Discussions (2017) (363)
No country for old members: user lifecycle and linguistic change in online communities (2013) (353)
Discovering social circles in ego networks (2012) (351)
Hyperbolic Graph Convolutional Neural Networks (2019) (351)
A computational approach to politeness with application to social factors (2013) (344)
Cascading Behavior in Large Blog Graphs (2007) (331)
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems (2019) (328)
Position-aware Graph Neural Networks (2019) (322)
Mining of Massive Datasets, 2nd Ed (2014) (315)
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks (2019) (313)
Can cascades be predicted? (2014) (306)
Inducing Domain-Specific Sentiment Lexicons from Unlabeled Corpora (2016) (301)
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities (2018) (289)
On the Convexity of Latent Social Network Inference (2010) (286)
Structure and dynamics of information pathways in online media (2012) (279)
Community-Affiliation Graph Model for Overlapping Network Community Detection (2012) (276)
Disinformation on the Web: Impact, Characteristics, and Detection of Wikipedia Hoaxes (2016) (274)
Antisocial Behavior in Online Discussion Communities (2015) (258)
Scalable modeling of real graphs using Kronecker multiplication (2007) (254)
Network Lasso: Clustering and Optimization in Large Graphs (2015) (246)
Learning Structural Node Embeddings via Diffusion Wavelets (2017) (245)
The Network Completion Problem: Inferring Missing Nodes and Edges in Networks (2011) (241)
Learning Attitudes and Attributes from Multi-aspect Reviews (2012) (238)
Community Interaction and Conflict on the Web (2018) (236)
The bursty dynamics of the Twitter information network (2014) (218)
The life and death of online groups: predicting group growth and longevity (2012) (216)
Mobile call graphs: beyond power-law and lognormal distributions (2008) (215)
Interpretable & Explorable Approximations of Black Box Models (2017) (207)
Clash of the Contagions: Cooperation and Competition in Information Diffusion (2012) (200)
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health (2016) (199)
Faithful and Customizable Explanations of Black Box Models (2019) (198)
Multiplicative Attribute Graph Model of Real-World Networks (2010) (198)
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis (2014) (193)
Cultural Shift or Linguistic Drift? Comparing Two Computational Measures of Semantic Change (2016) (188)
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering (2021) (187)
Embedding Logical Queries on Knowledge Graphs (2018) (186)
Toeplitz Inverse Covariance-Based Clustering of Multivariate Time Series Data (2017) (180)
Governance in Social Media: A Case Study of the Wikipedia Promotion Process (2010) (177)
Human wayfinding in information networks (2012) (174)
Modeling Information Propagation with Survival Theory (2013) (172)
Image Labeling on a Network: Using Social-Network Metadata for Image Classification (2012) (170)
The role of social networks in online shopping: information passing, price of trust, and consumer choice (2011) (167)
Measurement error in network data: A re-classification (2012) (160)
Modeling Blog Dynamics (2009) (155)
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs (2021) (154)
An Army of Me: Sockpuppets in Online Discussion Communities (2017) (153)
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings (2020) (152)
Design Space for Graph Neural Networks (2020) (149)
Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time (2017) (147)
Mining big data to extract patterns and predict real-life outcomes. (2016) (142)
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior (2016) (141)
Network Inference via the Time-Varying Graphical Lasso (2017) (141)
Overlapping Communities Explain Core–Periphery Organization of Networks (2014) (137)
Effects of user similarity in social media (2012) (137)
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning (2020) (136)
What's in a Name? Understanding the Interplay between Titles, Content, and Communities in Social Media (2013) (134)
Worldwide Buzz: Planetary-Scale Views on an Instant-Messaging Network (2007) (132)
Correcting for missing data in information cascades (2011) (131)
Uncovering the structure and temporal dynamics of information propagation (2014) (126)
HADI: Mining Radii of Large Graphs (2011) (124)
Dynamics of large networks (2008) (119)
Unifying Graph Convolutional Neural Networks and Label Propagation (2020) (114)
Fly Cell Atlas: A single-nucleus transcriptomic atlas of the adult fruit fly (2022) (111)
The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables (2017) (111)
How Community Feedback Shapes User Behavior (2014) (110)
Learning Sub-structures of Document Semantic Graphs for Document Summarization (2004) (108)
Do Cascades Recur? (2016) (107)
Selection Via Proxy: Efficient Data Selection For Deep Learning (2019) (104)
Tensor Spectral Clustering for Partitioning Higher-order Network Structures (2015) (101)
Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model (2011) (101)
Structure and Overlaps of Ground-Truth Communities in Networks (2014) (100)
Information cartography: creating zoomable, large-scale maps of information (2013) (100)
An algorithmic approach to reducing unexplained pain disparities in underserved populations (2021) (100)
Driver identification using automobile sensor data from a single turn (2016) (99)
To Embed or Not: Network Embedding as a Paradigm in Computational Biology (2019) (97)
Coresets for Data-efficient Training of Machine Learning Models (2019) (97)
Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org (2015) (97)
Network enhancement as a general method to denoise weighted biological networks (2018) (96)
Cascading Behavior in Large Blog Graphs Patterns and a model (2006) (95)
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs (2020) (95)
GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks (2019) (92)
GraphRNN: A Deep Generative Model for Graphs (2018) (91)
Identity-aware Graph Neural Networks (2021) (91)
Best practices for analyzing large-scale health data from wearables and smartphone apps (2019) (89)
Social media analytics: tracking, modeling and predicting the flow of information through networks (2011) (89)
Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis (2018) (84)
Citing for high impact (2010) (83)
Understanding Behaviors that Lead to Purchasing: A Case Study of Pinterest (2016) (82)
Higher-order clustering in networks (2017) (81)
Monitoring Network Evolution using MDL (2008) (80)
Why We Read Wikipedia (2017) (80)
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems (2019) (80)
SNAP (2016) (80)
Large-Scale Analysis of Disease Pathways in the Human Interactome (2017) (79)
Dynamics of bidding in a P2P lending service: effects of herding and predicting loan success (2011) (79)
Language-Agnostic Representation Learning of Source Code from Structure and Context (2021) (78)
Graph Structure of Neural Networks (2020) (77)
Detecting cohesive and 2-mode communities indirected and undirected networks (2014) (77)
Loyalty in Online Communities (2017) (77)
Graph Information Bottleneck (2020) (76)
Evolution of resilience in protein interactomes across the tree of life (2018) (76)
Inferring Person-to-person Proximity Using WiFi Signals (2016) (75)
Sentiment Flow Through Hyperlink Networks (2011) (75)
Information Survival Threshold in Sensor and P2P Networks (2007) (75)
MARS: discovering novel cell types across heterogeneous single-cell experiments (2020) (73)
Finding progression stages in time-evolving event sequences (2014) (72)
Spectral Graph Wavelets for Structural Role Similarity in Networks (2017) (72)
Handling Missing Data with Graph Representation Learning (2020) (68)
Radius Plots for Mining Tera-byte Scale Graphs: Algorithms, Patterns, and Observations (2010) (65)
Finding patterns in blog shapes and blog evolution (2007) (64)
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development (2021) (64)
Global Diffusion via Cascading Invitations: Structure, Growth, and Homophily (2015) (64)
Data association for topic intensity tracking (2006) (64)
Data-Driven Model Predictive Control of Autonomous Mobility-on-Demand Systems (2017) (63)
Nonparametric Multi-group Membership Model for Dynamic Networks (2013) (62)
Relational Message Passing for Knowledge Graph Completion (2020) (62)
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest (2020) (61)
Inferring networks of diffusion and influence (2010) (59)
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks (2021) (58)
LinkBERT: Pretraining Language Models with Document Links (2022) (57)
Structure and Overlaps of Communities in Networks (2012) (56)
Mining Missing Hyperlinks from Human Navigation Traces: A Case Study of Wikipedia (2015) (56)
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns (2015) (54)
Community Identity and User Engagement in a Multi-Community Landscape (2017) (54)
Latent Multi-group Membership Graph Model (2012) (53)
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application (2017) (53)
Complete the Look: Scene-Based Complementary Product Recommendation (2018) (52)
Single-cell transcriptomes of developing and adult olfactory receptor neurons in Drosophila (2020) (52)
Identification of disease treatment mechanisms through the multiscale interactome (2020) (51)
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining (2014) (51)
Automatic Versus Human Navigation in Information Networks (2012) (50)
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings (2021) (50)
Impact of Linguistic Analysis on the Semantic Graph Coverage and Learning of Document Extracts (2005) (49)
NIFTY: a system for large scale information flow tracking and clustering (2013) (47)
GMine: a system for scalable, interactive graph visualization and mining (2006) (47)
Optimizing Sensor Placements in Water Distribution Systems Using Submodular Function Maximization (2008) (46)
Extracting Summary Sentences Based on the Document Semantic Graph (2005) (46)
Open-World Semi-Supervised Learning (2021) (46)
Prioritizing network communities (2018) (46)
Growing Wikipedia Across Languages via Recommendation (2016) (44)
The Local Closure Coefficient: A New Perspective On Network Clustering (2019) (43)
Modeling Interdependent and Periodic Real-World Action Sequences (2018) (42)
Improving Website Hyperlink Structure Using Server Logs (2015) (42)
Improving Graph Attention Networks with Large Margin-based Constraints (2019) (42)
Coresets for Robust Training of Deep Neural Networks against Noisy Labels (2020) (42)
Concept Learners for Few-Shot Learning (2020) (40)
Pre-training Graph Neural Networks (2019) (40)
Ringo: Interactive Graph Analytics on Big-Memory Machines (2015) (39)
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs (2021) (39)
Anyone Can Become a Troll (2017) (39)
Linear Programming Boosting for Uneven Datasets (2003) (38)
Web projections: learning from contextual subgraphs of the web (2007) (38)
Extending the WILDS Benchmark for Unsupervised Adaptation (2021) (37)
Fly Cell Atlas: a single-cell transcriptomic atlas of the adult fruit fly (2021) (36)
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics (2021) (35)
Antisocial Behavior on the Web: Characterization and Detection (2017) (34)
The last click: why users give up information network navigation (2014) (33)
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal (2019) (32)
Modeling Individual Cyclic Variation in Human Behavior (2017) (31)
Gephi (2021) (31)
Redundancy-Free Computation for Graph Neural Networks (2020) (30)
Predicting Intent Using Activity Logs: How Goal Specificity and Temporal Range Affect User Behavior (2017) (30)
Information cartography (2015) (30)
The mobilize center: an NIH big data to knowledge center to advance human movement research and improve mobility (2015) (30)
Do Diffusion Protocols Govern Cascade Growth? (2018) (30)
Entity Context and Relational Paths for Knowledge Graph Completion (2020) (29)
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations (2021) (29)
Distance Encoding – Design Provably More Powerful GNNs for Structural Representation Learning (2020) (29)
The dynamics of viral marketing (2006) (28)
Seeing the forest for the trees: new approaches to forecasting cascades (2016) (28)
Neural Subgraph Matching (2020) (27)
Multi-hop Attention Graph Neural Networks (2021) (27)
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering (2022) (27)
Combiner: Full Attention Transformer with Sparse Computation Cost (2021) (26)
Learning Semantic Graph Mapping for Document Summarization (2004) (26)
Supporting COVID-19 Policy Response with Large-scale Mobility-based Modeling (2021) (25)
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks (2020) (25)
Mobility network modeling explains higher SARS-CoV-2 infection rates among disadvantaged groups and informs reopening strategies (2020) (25)
Mining of Massive Datasets: Finding Similar Items (2011) (24)
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application (2018) (24)
Geospatial Structure of a Planetary-Scale Social Network (2014) (23)
Learning Dynamic Embeddings from Temporal Interactions (2018) (23)
Temporal evolution of single-cell transcriptomes of Drosophila olfactory projection neurons (2020) (22)
Maximally selective single-cell target for circuit control in epilepsy models (2020) (22)
Direct Multi-hop Attention based Graph Neural Network (2020) (22)
Drive2Vec: Multiscale State-Space Embedding of Vehicular Sensor Data (2018) (22)
Inductive Learning on Commonsense Knowledge Graph Completion (2020) (21)
Coresets for Robust Training of Neural Networks against Noisy Labels (2020) (21)
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams (2020) (21)
Predicting pregnancy using large-scale data from a women's health tracking mobile application (2018) (21)
A Bayesian Framework for Modeling Human Evaluations (2015) (21)
Mining of Massive Datasets: MapReduce and the New Software Stack (2014) (20)
SnapVX: A Network-Based Convex Optimization Solver (2015) (19)
Expanding Taxonomies with Implicit Edge Semantics (2020) (19)
G2SAT: Learning to Generate SAT Formulas (2019) (19)
Predicting the Visual Focus of Attention in Multi-Person Discussion Videos (2019) (18)
Graphs Over Time: Densification and Shrinking Diameters (2006) (18)
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones (2021) (17)
GreaseLM: Graph REASoning Enhanced Language Models (2022) (17)
Artificial intelligence foundation for therapeutic science (2022) (16)
Large-scale diet tracking data reveal disparate associations between food environment and diet (2022) (15)
Leveraging the Cell Ontology to classify unseen cell types (2021) (15)
Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs (2021) (15)
Laws of Graph Evolution: Densification and Shrinking Diameters (2006) (15)
Proceedings of the First Workshop on Social Media Analytics (2010) (14)
Annotation of Spatially Resolved Single-cell Data with STELLAR (2021) (14)
Drivers of Variability in Energy Consumption (2017) (14)
Learning Linguistic Descriptors of User Roles in Online Communities (2016) (14)
ROLAND: Graph Learning Framework for Dynamic Graphs (2022) (14)
Mining Social-Network Graphs (2014) (13)
LM-Critic: Language Models for Unsupervised Grammatical Error Correction (2021) (13)
Combining Graph Convolutional Neural Networks and Label Propagation (2021) (13)
Dynamic Network Model from Partial Observations (2018) (13)
Inferring Multidimensional Rates of Aging from Cross-Sectional Data (2018) (13)
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields (2017) (13)
Deep Bidirectional Language-Knowledge Graph Pretraining (2022) (13)
Multi-hop Attention Graph Neural Network (2020) (13)
Network Analysis: A Novel Method for Mapping Neonatal Acute Transport Patterns in California (2017) (12)
Analyzing Information Seeking and Drug-Safety Alert Response by Health Care Professionals as New Methods for Surveillance (2015) (12)
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks (2021) (12)
SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs (2021) (12)
Networks, communities and kronecker products (2009) (11)
SAGE: A Hybrid Geopolitical Event Forecasting System (2019) (11)
Modeling Link Qualities in a Sensor Network (2005) (11)
net.science: A Cyberinfrastructure for Sustained Innovation in Network Science and Engineering (2020) (11)
Social media: source of information or bunch of noise (2011) (11)
Offline Behaviors of Online Friends (2018) (10)
ShatterPlots: Fast Tools for Mining Large Graphs (2009) (10)
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization (2019) (10)
Bipartite Dynamic Representations for Abuse Detection (2021) (10)
Understanding Online Collection Growth Over Time: A Case Study of Pinterest (2017) (10)
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making (2016) (10)
Channeling the deluge: research challenges for big data and information systems (2013) (9)
Neural Distance Embeddings for Biological Sequences (2021) (9)
The Expressive Power of Graph Neural Networks (2022) (9)
Modeling Affinity based Popularity Dynamics (2017) (9)
Mining of Massive Datasets: Preface (2011) (9)
Select Via Proxy: Efficient Data Selection For Training Deep Networks (2018) (9)
The Download Estimation task on KDD Cup 2003 (2003) (8)
LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets (2011) (8)
New Directions in Recommender Systems (2015) (8)
Deception Detection in Group Video Conversations using Dynamic Interaction Networks (2021) (8)
Few-shot Relational Reasoning via Connection Subgraph Pretraining (2022) (8)
Natural Language Processing for Mental Health: Large Scale Discourse Analysis of Counseling Conversations (2016) (8)
Learning Backward Compatible Embeddings (2022) (8)
Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning (2020) (8)
Retrieval-Augmented Multimodal Language Modeling (2022) (8)
Status and friendship: mechanisms of social network evolution (2014) (7)
Querying Complex Networks in Vector Space (2018) (7)
GEARS: Predicting transcriptional outcomes of novel multi-gene perturbations (2022) (7)
Categorizing User Sessions at Pinterest (2017) (7)
Data Sketching for Faster Training of Machine Learning Models (2019) (7)
Gender Differences in Patient Perceptions of Physicians' Communal Traits and the Impact on Physician Evaluations. (2020) (7)
MIS2: Misinformation and Misbehavior Mining on the Web (2018) (6)
Redundancy-Free Computation Graphs for Graph Neural Networks (2019) (6)
Driver2vec: Driver Identification from Automotive Data (2021) (6)
High Resolution Single Cell Maps Reveals Distinct Cell Organization and Function Across Different Regions of the Human Intestine (2021) (6)
Network enhancement as a general method to denoise weighted biological networks (2018) (5)
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator (2022) (5)
The menstrual cycle is a primary contributor to cyclic variation in women’s mood, behavior, and vital signs (2019) (5)
Large-scale graph representation learning (2017) (5)
Foundation models for generalist medical artificial intelligence (2023) (5)
Learning to Accelerate Partial Differential Equations via Latent Global Evolution (2022) (5)
Learning Attitudes and Attributes from Online Reviews (2012) (4)
Tutorial summary: Large social and information networks: opportunities for ML (2009) (4)
Mining of Massive Datasets: Recommendation Systems (2011) (4)
Inferring Multi-Dimensional Rates of Aging from Cross-Sectional Data (2018) (4)
M2P2: Multimodal Persuasion Prediction Using Adaptive Fusion (2020) (4)
Model-Agnostic Graph Regularization for Few-Shot Learning (2021) (3)
Diffusion and Cascading Behavior in Networks (2007) (3)
Human navigation in networks (2012) (3)
Postmortem memory of public figures in news and social media (2021) (3)
Materials for Higher-order organization of complex networks (2016) (3)
Concept Learners for Generalizable Few-Shot Learning (2020) (3)
Predicting dominance in multi-person videos (2019) (3)
Social media analytics (2011) (3)
A Metro Map Can Tell A Story, As Well As Provide Good Directions (2016) (3)
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest (2022) (3)
HADI (2011) (3)
How status and reputation shape human evaluations: consequences for recommender systems (2013) (3)
Companies under stress: the impact of shocks on the production network (2021) (3)
Mobility network models of COVID-19 explain inequities and inform reopening (2020) (2)
MultiSage (2020) (2)
PinnerFormer: Sequence Modeling for User Representation at Pinterest (2022) (2)
VQA-GNN: Reasoning with Multimodal Semantic Graph for Visual Question Answering (2022) (2)
Beyond nodes and edges: multiresolution algorithms for network data (2016) (2)
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time (2022) (2)
MASA: Motif-Aware State Assignment in Noisy Time Series Data (2018) (2)
Large Scale Network Analytics with SNAP: Tutorial at the World Wide Web 2015 Conference (2015) (2)
Social networks: looking ahead (2008) (2)
Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks (2022) (2)
CASC: Context-Aware Segmentation and Clustering for Motif Discovery in Noisy Time Series Data (2018) (2)
OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation (2020) (2)
PinnerSage (2020) (2)
Guest Editorial: Non-Euclidean Machine Learning (2022) (2)
Relational Multi-Task Learning: Modeling Relations between Data and Tasks (2023) (2)
Aging Fly Cell Atlas Identifies Exhaustive Aging Features at Cellular Resolution (2022) (2)
Higher-order hub cells involved in feedforward motifs as critical factors in epileptic network instability (2020) (1)
Frequent Itemsets (2020) (1)
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases (2023) (1)
Efficient Automatic Machine Learning via Design Graphs (2022) (1)
Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning (2020) (1)
Modeling Network Structure using Kronecker Multiplication (2007) (1)
Coresets for Accelerating Incremental Gradient Methods (2019) (1)
Discovering Social Circles in Ego Networks (Author's Manuscript) (2013) (1)
Through the Lens of a Large Instant-Messaging Network: Planetary-Scale Views on Behavior (2016) (1)
Analytical Models for Motifs in Temporal Networks (2022) (1)
Mutual interactors as a principle for phenotype discovery in molecular interaction networks. (2022) (1)
Mining of Massive Datasets: Link Analysis (2011) (1)
Human interaction networks reveal that large cities facilitate segregation (2022) (1)
Analytical Models for Motifs in Temporal Networks: Discovering Trends and Anomalies (2021) (1)
Visualizing information networks: the 2011 Fukushima earthquake (2014) (1)
Supplementary Material : Large-scale community structurein social and information networks (2009) (1)
Learning Graph Search Heuristics (2022) (1)
Psycho-Demographic Analysis of the Facebook Rainbow Campaign (2016) (1)
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks (2022) (1)
Improving Query Safety at Pinterest (2020) (1)
Introduction to the Special Issue of Best Papers in ACM SIGKDD 2014 (2016) (0)
products compatible products + “ Shoes ” Output Shop the Look Complete the Look Query OutputQuery Figure (2019) (0)
AdaGrid: Adaptive Grid Search for Link Prediction Training Objective (2022) (0)
Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders using Graph Representation Learning (2022) (0)
Welcome on Behalf of the Wiki Workshop Chairs & Organization (2018) (0)
Link-BERT: Pretraining a Language Model with Document Links (2022) (0)
S I ] 1 7 F eb 2 01 5 Tensor Spectral Clustering for Partitioning Higher-orderN twork Structures (2022) (0)
End-toEnd In-memory Graph Analytics (2016) (0)
Mining of Massive Datasets: Large-Scale Machine Learning (2014) (0)
Panel: Computational Methods about Knowledge Graph (2019) (0)
LinkBERT: Language Model Pretraining with Document Link Knowledge (2022) (0)
Kronecker Graphs (2011) (0)
HOMEWORK ROUTE FORM (2013) (0)
Hybrid forecasting of geopolitical events † (2023) (0)
3:09 PM Abstract No. 73 Evaluating the impact of communal traits and gender-based perceptions on Press-Ganey scores (2020) (0)
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks (2023) (0)
Summary: Empirical Comparison of Algorithms for Network Community De- Tection. (2010) (2013) (0)
Learning Controllable Adaptive Simulation for Multi-resolution Physics (2023) (0)
Neural Nets and Deep Learning (2020) (0)
Learning Semantic Subgraphs for Document Summarization (2004) (0)
Zero-shot causal learning (2023) (0)
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy (2022) (0)
Towards Universal Cell Embeddings: Integrating Single-cell RNA-seq Datasets across Species with SATURN (2023) (0)
PinnerFormer (2022) (0)
Harnessing Simulation for Molecular Embeddings (2023) (0)
An algorithmic approach to reducing unexplained pain disparities in underserved populations (2021) (0)
Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites (2021) (0)
Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design (2023) (0)
Data Mining Tan Solutions (2020) (0)
SIGKDD Impact Program 2018 (2019) (0)
Iterative Collective Classification for Visual Focus of Attention Prediction (2021) (0)
The Shifting Landscape of Web Search and Mining: Past, Present, and Future (2018) (0)
Companies under stress: the impact of shocks on the production network (2021) (0)
Report on the 30th the web conference 2021 (TheWebConf2021) (2021) (0)
The First International Workshop on Knowledge Graph Technology and Applications (2019) (0)
Geometric Latent Diffusion Models for 3D Molecule Generation (2023) (0)
Heterogeneous Graph (2018) (0)
Post-mortem memory of public figures in news and social media (2021) (0)
Prioritizing network communities (2018) (0)
Appendix for ``Graph Structure of Neural Networks'' (2020) (0)
2022 Source Labeled Unlabeled Belgium France Norway Validation China Target United States Canada UK Japan Mexico Extra (2022) (0)
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data (2022) (0)
MACHINE LEARNING ON SETS OF DOCUMENTS CONNECTED IN GRAPHS (2003) (0)
Mining and Modeling Large Social and Information Networks (2015) (0)
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest (2022) (0)
CS246: Mining Massive Datasets (2021) (0)
MultiBiSage (2022) (0)
“ Shoes ” Output Shop the Look Complete the Look Query OutputQuery (2019) (0)
When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability (2023) (0)

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