Yizhou Sun
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Computer Science
Yizhou Sun's Degrees
- PhD Computer Science University of California, Santa Barbara
- Masters Computer Science University of California, Santa Barbara
- Bachelors Computer Science University of Science and Technology of China
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(Suggest an Edit or Addition)Yizhou Sun'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
- PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks (2011) (1353)
- A Survey of Heterogeneous Information Network Analysis (2015) (751)
- Personalized entity recommendation: a heterogeneous information network approach (2014) (584)
- Ranking-based clustering of heterogeneous information networks with star network schema (2009) (524)
- Heterogeneous Graph Transformer (2020) (504)
- Mining Heterogeneous Information Networks: Principles and Methodologies (2012) (490)
- Mining heterogeneous information networks: a structural analysis approach (2013) (477)
- Co-author Relationship Prediction in Heterogeneous Bibliographic Networks (2011) (442)
- RankClus: integrating clustering with ranking for heterogeneous information network analysis (2009) (410)
- LCARS: a location-content-aware recommender system (2013) (346)
- On community outliers and their efficient detection in information networks (2010) (259)
- When will it happen?: relationship prediction in heterogeneous information networks (2012) (254)
- Graph Regularized Transductive Classification on Heterogeneous Information Networks (2010) (235)
- P-Rank: a comprehensive structural similarity measure over information networks (2009) (222)
- GPT-GNN: Generative Pre-Training of Graph Neural Networks (2020) (221)
- Integrating meta-path selection with user-guided object clustering in heterogeneous information networks (2012) (217)
- Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification (2016) (211)
- SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (2018) (176)
- Fast computation of SimRank for static and dynamic information networks (2010) (174)
- PathSim (2011) (170)
- Meta Structure: Computing Relevance in Large Heterogeneous Information Networks (2016) (164)
- Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (2012) (160)
- PathSelClus: Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks (2013) (158)
- Recommendation in heterogeneous information networks with implicit user feedback (2013) (153)
- On Sampling Strategies for Neural Network-based Collaborative Filtering (2017) (140)
- iTopicModel: Information Network-Integrated Topic Modeling (2009) (138)
- Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks (2019) (138)
- Geo-SAGE: A Geographical Sparse Additive Generative Model for Spatial Item Recommendation (2015) (135)
- LCARS: A Spatial Item Recommender System (2014) (131)
- SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks (2010) (131)
- Integrating community matching and outlier detection for mining evolutionary community outliers (2012) (114)
- Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark (2020) (114)
- Predicting Links in Multi-relational and Heterogeneous Networks (2012) (107)
- Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts (2019) (103)
- Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models (2009) (100)
- RAIN: Social Role-Aware Information Diffusion (2015) (94)
- Finding key players in complex networks through deep reinforcement learning (2020) (93)
- Community evolution detection in dynamic heterogeneous information networks (2010) (91)
- Predicting drug target interactions using meta-path-based semantic network analysis (2016) (86)
- Collaborative Filtering with Entity Similarity Regularization in Heterogeneous Information Networks (2013) (86)
- Community Trend Outlier Detection Using Soft Temporal Pattern Mining (2012) (86)
- Meta-Path-Based Ranking with Pseudo Relevance Feedback on Heterogeneous Graph for Citation Recommendation (2014) (83)
- Reciprocal recommendation system for online dating (2015) (82)
- Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events (2016) (72)
- Learning K-way D-dimensional Discrete Code For Compact Embedding Representations (2017) (64)
- User guided entity similarity search using meta-path selection in heterogeneous information networks (2012) (63)
- Embedding Uncertain Knowledge Graphs (2018) (62)
- A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models (2013) (60)
- Motif-Driven Contrastive Learning of Graph Representations (2020) (60)
- Heterogeneous source consensus learning via decision propagation and negotiation (2009) (55)
- ETM: Entity Topic Models for Mining Documents Associated with Entities (2012) (54)
- Evolutionary Clustering and Analysis of Bibliographic Networks (2011) (54)
- Full-text based context-rich heterogeneous network mining approach for citation recommendation (2014) (53)
- Few-Shot Representation Learning for Out-Of-Vocabulary Words (2019) (52)
- Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching (2018) (52)
- Meta-Path-Based Search and Mining in Heterogeneous Information Networks (2013) (52)
- Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond (2020) (52)
- Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification (2019) (52)
- Mining knowledge from databases: an information network analysis approach (2010) (51)
- Network Embedding for Community Detection in Attributed Networks (2020) (51)
- Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity (2019) (50)
- Heterogeneous Network Representation Learning (2020) (48)
- Mining Knowledge from Interconnected Data: A Heterogeneous Information Network Analysis Approach (2012) (47)
- HeteroMed: Heterogeneous Information Network for Medical Diagnosis (2018) (43)
- Sampling cube: a framework for statistical olap over sampling data (2008) (42)
- Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach (2019) (41)
- RelSim: Relation Similarity Search in Schema-Rich Heterogeneous Information Networks (2016) (41)
- Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (2021) (40)
- The art of drafting: a team-oriented hero recommendation system for multiplayer online battle arena games (2018) (37)
- Learning Fair Representations via an Adversarial Framework (2019) (37)
- Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks (2017) (36)
- Learning Global Term Weights for Content-based Recommender Systems (2016) (36)
- Co-Evolution of Multi-Typed Objects in Dynamic Star Networks (2014) (34)
- Personalized Question Routing via Heterogeneous Network Embedding (2019) (34)
- Trust analysis with clustering (2011) (33)
- SUPERSATURATED DESIGN WITH MORE THAN TWO LEVELS (2001) (32)
- Entity Matching across Heterogeneous Sources (2015) (32)
- Modeling Topic Diffusion in Multi-Relational Bibliographic Information Networks (2014) (32)
- Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games (2018) (32)
- P-Companion: A Principled Framework for Diversified Complementary Product Recommendation (2020) (31)
- TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (2020) (31)
- Differentiable Product Quantization for End-to-End Embedding Compression (2019) (30)
- Query-driven discovery of semantically similar substructures in heterogeneous networks (2012) (28)
- Pre-Training Graph Neural Networks for Generic Structural Feature Extraction (2019) (28)
- Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning (2020) (28)
- Joint Text Embedding for Personalized Content-based Recommendation (2017) (26)
- Causal relation of queries from temporal logs (2007) (26)
- ST-SAGE (2017) (25)
- Convolutional Set Matching for Graph Similarity (2018) (25)
- WSDM Cup 2016: Entity Ranking Challenge (2016) (24)
- RaRE: Social Rank Regulated Large-scale Network Embedding (2018) (24)
- Design of reciprocal recommendation systems for online dating (2016) (24)
- Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks (2017) (23)
- iNextCube: Information Network-Enhanced Text Cube (2009) (23)
- BibNetMiner: mining bibliographic information networks (2008) (23)
- A reference set of curated biomedical data and metadata from clinical case reports (2018) (22)
- EOMM: An Engagement Optimized Matchmaking Framework (2017) (22)
- Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks (2021) (22)
- Topic-factorized ideal point estimation model for legislative voting network (2014) (22)
- Apollo: Towards factfinding in participatory sensing (2011) (22)
- Probabilistic Models for Text Mining (2012) (21)
- Mining heterogeneous information networks (2012) (20)
- Player Skill Decomposition in Multiplayer Online Battle Arenas (2017) (20)
- Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer (2020) (20)
- The Co-Evolution Model for Social Network Evolving and Opinion Migration (2017) (20)
- LCARS (2014) (20)
- Clustering and Ranking in Heterogeneous Information Networks via Gamma-Poisson Model (2015) (19)
- Link Prediction in Heterogeneous Networks : Influence and Time Matters (2012) (18)
- Region-based online promotion analysis (2010) (18)
- Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference (2020) (18)
- Weakly-Guided User Stance Prediction via Joint Modeling of Content and Social Interaction (2017) (18)
- HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding (2021) (18)
- UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference (2021) (17)
- Mining Knowledge from Data: An Information Network Analysis Approach (2012) (17)
- Integrating Community and Role Detection in Information Networks (2016) (16)
- NewsNetExplorer: automatic construction and exploration of news information networks (2014) (16)
- Fast Detection of Maximum Common Subgraph via Deep Q-Learning (2020) (16)
- Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations (2020) (16)
- Fuzzy Logic Based Logical Query Answering on Knowledge Graphs (2021) (16)
- Be Appropriate and Funny: Automatic Entity Morph Encoding (2014) (15)
- Ideology Detection for Twitter Users with Heterogeneous Types of Links (2016) (15)
- Are You Satisfied with Life?: Predicting Satisfaction with Life from Facebook (2015) (15)
- Resolving Entity Morphs in Censored Data (2013) (15)
- Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach (2012) (15)
- GLSearch: Maximum Common Subgraph Detection via Learning to Search (2020) (14)
- Semantic Frame-Based Document Representation for Comparable Corpora (2013) (14)
- GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases (2020) (14)
- Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases (2020) (13)
- Multidimensional Analysis of Atypical Events in Cyber-Physical Data (2012) (13)
- Context-aware Entity Morph Decoding (2015) (13)
- Coupled Graph ODE for Learning Interacting System Dynamics (2021) (13)
- Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks (2011) (13)
- MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks (2021) (12)
- Graph Edit Distance Computation via Graph Neural Networks (2018) (12)
- Robustness Test of Genetic Algorithm on Generating Rules for Currency Trading (2012) (12)
- Cross Social Media Recommendation (2021) (12)
- Towards Fine-Grained Reasoning for Fake News Detection (2021) (11)
- How Do Influencers Mention Brands in Social Media? Sponsorship Prediction of Instagram Posts (2019) (11)
- Probabilistic Models for Classification (2014) (11)
- Understanding Default Behavior in Online Lending (2019) (11)
- A Comprehensive Typing System for Information Extraction from Clinical Narratives (2019) (10)
- Recurrent Meta-Structure for Robust Similarity Measure in Heterogeneous Information Networks (2017) (10)
- WINACS: construction and analysis of web-based computer science information networks (2011) (10)
- Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity (2019) (10)
- Real-Time Short-Term Traffic Flow Forecasting Based on Process Neural Network (2008) (10)
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction (2020) (10)
- Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment (2022) (10)
- A reference set of curated biomedical data and metadata from clinical case reports. (2018) (9)
- Unsupervised Adversarially-Robust Representation Learning on Graphs (2020) (9)
- Software Language Comprehension using a Program-Derived Semantic Graph (2020) (9)
- Integrating Clustering with Ranking in Heterogeneous Information Networks Analysis (2010) (9)
- Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks (2020) (9)
- Effects of continuous positive airway pressure on neurocognitive architecture and function in patients with obstructive sleep apnoea: study protocol for a multicentre randomised controlled trial (2017) (8)
- PathSelClus (2013) (8)
- Multivariate Time Series Classification with Hierarchical Variational Graph Pooling (2020) (7)
- Demystifying Graph Neural Network Via Graph Filter Assessment (2019) (7)
- Ideology Detection for Twitter Users via Link Analysis (2017) (7)
- Towards Representation Independent Similarity Search Over Graph Databases (2016) (6)
- Fuzzy Logic based Logical Query Answering on Knowledge Graph (2021) (6)
- Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks (2021) (6)
- Recommendation in Context-Rich Environment: An Information Network Analysis Approach (2017) (5)
- Neural Maximum Common Subgraph Detection with Guided Subgraph Extraction (2019) (5)
- Perspective on Measurement Metrics for Community Detection Algorithms (2013) (5)
- Automated Accelerator Optimization Aided by Graph Neural Networks (2022) (5)
- Research-insight: providing insight on research by publication network analysis (2013) (5)
- Relation-Guided Pre-Training for Open-Domain Question Answering (2021) (5)
- Bi-Level Attention Graph Neural Networks (2021) (5)
- Learning Probabilities of Causation from Finite Population Data (2022) (4)
- Successful Data Mining Methods for NLP (2015) (4)
- Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games (2018) (4)
- Ranking Methods for Networks (2014) (4)
- Clinical Named Entity Recognition using Contextualized Token Representations (2021) (3)
- Improving Multi-Task Generalization via Regularizing Spurious Correlation (2022) (3)
- Deep Learning of Potential Outcomes (2021) (3)
- CREATe: Clinical Report Extraction and Annotation Technology (2021) (3)
- Query-free Black-box Adversarial Attacks on Graphs (2020) (3)
- Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs (2022) (3)
- Finding spin glass ground states through deep reinforcement learning (2021) (3)
- Modeling Personalized Dynamics of Social Network and Opinion at Individual Level (2018) (3)
- Graph-based Classification on Heterogeneous Information Networks (2010) (3)
- Detecting Political Biases of Named Entities and Hashtags on Twitter (2022) (3)
- UniKER: A Unified Framework for Combining Embedding and Horn Rules for Knowledge Graph Inference (2020) (3)
- DMSS: A Robust Deep Meta Structure Based Similarity Measure in Heterogeneous Information Networks (2017) (3)
- Unit Selection: Learning Benefit Function from Finite Population Data (2022) (3)
- RLogic: Recursive Logical Rule Learning from Knowledge Graphs (2022) (3)
- Web Information Systems Engineering – WISE 2019: 20th International Conference, Hong Kong, China, January 19–22, 2020, Proceedings (2019) (3)
- Predicting drug target interactions using meta-path-based semantic network analysis (2016) (2)
- REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory (2022) (2)
- TIMME (2020) (2)
- PGE: Robust Product Graph Embedding Learning for Error Detection (2022) (2)
- GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games (2022) (2)
- Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs (2020) (2)
- Web-age information management : 16th International Conference, WAIM 2015, Qingdao, China, June 8-10, 2015 : proceedings (2014) (2)
- Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning (2020) (2)
- Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering (2022) (2)
- Heterogeneous Information Networks (2022) (2)
- Dissecting Graph Neural Networks on Graph Classification (2019) (2)
- Improving GNN-based accelerator design automation with meta learning (2022) (2)
- Predicting metabolomic profiles from microbial composition through neural ordinary differential equations (2022) (2)
- HeteroMed (2018) (2)
- Accuracy of Google Translate in translating the directions and counseling points for top-selling drugs from English to Arabic, Chinese, and Spanish. (2021) (2)
- Universal-DB: Towards Representation Independent Graph Analytics (2015) (2)
- Automated accelerator optimization aided by graph neural networks (2022) (2)
- Estimating Causal Effects on Networked Observational Data via Representation Learning (2022) (2)
- Convolutional Neural Networks for Fast Approximation of Graph Edit Distance (2018) (1)
- Mining knowledge from interconnected data (2012) (1)
- Abstract cost models for distributed data-intensive computations (2018) (1)
- Prototypical Fine-tuning: Towards Robust Performance Under Varying Data Sizes (2022) (1)
- Abstract cost models for distributed data-intensive computations (2018) (1)
- A Case for Abstract Cost Models for Distributed Execution of Analytics Operators (2017) (1)
- Long‐term surgical outcomes after resection of presacral tumours and risk factors associated with recurrence (2021) (1)
- Question-Answer Sentence Graph for Joint Modeling Answer Selection (2022) (1)
- User Stance Prediction via Online Behavior Mining (2017) (1)
- Uncovering Medical Insights from Vast Amounts of Biomedical Data in Clinical Case Reports (2017) (1)
- Searching for spin glass ground states through deep reinforcement learning (2023) (1)
- Code Recommendation for Open Source Software Developers (2022) (1)
- Toward Representation Independent Similarity Search Over Graphs (2014) (1)
- Representation Independent Proximity and Similarity Search (2015) (1)
- Decentralized Context-Based On-Board Planning for Earth Observation Missions (2020) (1)
- Heterogeneous Information Networks: the Past, the Present, and the Future (2022) (1)
- Chapter 6: Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods (2013) (1)
- NoiGAN: NOISE AWARE KNOWLEDGE GRAPH EMBEDDING WITH GAN (2019) (1)
- Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics (2022) (1)
- GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract) (2022) (1)
- Graph Neural Networks for Graph Search (2020) (1)
- Decoupled Greedy Learning of Graph Neural Networks (2020) (1)
- Learning to Transfer via Modelling Multi-level Task Dependency (2019) (1)
- Bridging Self-Attention and Time Series Decomposition for Periodic Forecasting (2022) (1)
- Schema-Guided Event Graph Completion (2022) (1)
- Chordal-GCN: Exploiting sparsity in training large-scale graph convolutional networks (2019) (1)
- PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction (2023) (0)
- Introducing Semantics into Speech Encoders (2022) (0)
- iii Graph Mining : Laws , Tools , and Case Studies (2014) (0)
- Demystifying Graph Neural Networks with Graph Filter Assessment (2020) (0)
- Theory of Representation: China and the West (2014) (0)
- Open educational resource based information understanding via pdf document interaction (2014) (0)
- HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining (2018) (0)
- Neural Compositional Rule Learning for Knowledge Graph Reasoning (2023) (0)
- Subgraph Matching via Query-Conditioned Subgraph Matching Neural Networks and Bi-Level Tree Search (2022) (0)
- Multi-source Inductive Knowledge Graph Transfer (2022) (0)
- Final Program Sponsored by the SIAM Activity Group on Data Mining and Analytics (2019) (0)
- A Unified Network Embedding Algorithm for Multi-type Similarity Measures (2019) (0)
- Hierarchical Attention Models for Multi-Relational Graphs (2020) (0)
- CS6220: DATA MINING TECHNIQUES (2013) (0)
- Bi-Level Attention Neural Architectures for Relational Data (2020) (0)
- Detecting Small Query Graphs in A Large Graph via Neural Subgraph Search (2022) (0)
- Best Paper Award for Work on Evolutionary Clustering and Analysis (2014) (0)
- Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games (2022) (0)
- Non-cooperative game theory based active distribution network recovery strategy (2022) (0)
- Toward General Similarity Search Over Graphs (2014) (0)
- Erratum to: Web-Age Information Management (2015) (0)
- Modeling Dynamics of Social Network and Opinion at Individual Level (2018) (0)
- A Single Vector Is Not Enough: Taxonomy Expansion via Box Embeddings (2023) (0)
- Comparison of Different Detection Paradigm for WMIPs (2023) (0)
- Toward Representation Independent Analytics over Structured Data (2016) (0)
- Title Zero-Shot Relation Extraction from Word Embeddings Permalink (2018) (0)
- Hierarchical Large-scale Graph Similarity Computation via Graph Coarsening and Matching (2020) (0)
- Representation Independent Analytics Over Structured Data (2014) (0)
- Effects of harmful algal blooms on the physiological, immunity and resistance to environmental stress of bivalves: Special focus on paralytic shellfish poisoning and diarrhetic shellfish poisoning (2022) (0)
- Dissimilar Nodes Improve Graph Active Learning (2022) (0)
- Crowdsourcing Formal Decision Making Using Generalized Semantic Games (2013) (0)
- Finding key players in complex networks through deep reinforcement learning (2020) (0)
- GRAPH FEATURE NETWORKS (2019) (0)
- PGE (2022) (0)
- Learning Compact Embedding Layers via Differentiable Product Quantization (2019) (0)
- Session details: Session 7 (1982) (0)
- A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis (2022) (0)
- Guest Editorial: Special Issue on Social Media Computing (2022) (0)
- Multi-object detection at night for traffic investigations based on improved SSD framework (2022) (0)
- Design of reciprocal recommendation systems for online dating (2016) (0)
- Differentiable Product Quantization for Learning Compact Embedding Layers (2020) (0)
- Understanding Default Behavior in Peer-to-Peer Lending (2019) (0)
- Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1 (2023) (0)
- A Reliable Cooperative Fusion Positioning Methodology for Intelligent Vehicle in Non-Line-of-Sight Environments (2022) (0)
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