Hanghang Tong
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Hanghang Tongcomputer-science Degrees
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Data Mining
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Machine Learning
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Computer Science
Hanghang Tong's Degrees
- Bachelors Computer Science Zhejiang University
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(Suggest an Edit or Addition)Hanghang Tong'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
- Graph based anomaly detection and description: a survey (2014) (1085)
- Fast Random Walk with Restart and Its Applications (2006) (1073)
- RolX: structural role extraction & mining in large graphs (2012) (412)
- Graph convolutional networks: a comprehensive review (2019) (405)
- Manifold-ranking based image retrieval (2004) (374)
- Activity recognition with smartphone sensors (2014) (345)
- Random walk with restart: fast solutions and applications (2008) (325)
- Center-piece subgraphs: problem definition and fast solutions (2006) (305)
- Blur detection for digital images using wavelet transform (2004) (301)
- Fast best-effort pattern matching in large attributed graphs (2007) (273)
- It's who you know: graph mining using recursive structural features (2011) (254)
- Gelling, and melting, large graphs by edge manipulation (2012) (229)
- FINAL: Fast Attributed Network Alignment (2016) (182)
- Using ghost edges for classification in sparsely labeled networks (2008) (166)
- Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms (2010) (157)
- On the Vulnerability of Large Graphs (2010) (149)
- BIG-ALIGN: Fast Bipartite Graph Alignment (2013) (137)
- PICS: Parameter-free Identification of Cohesive Subgroups in Large Attributed Graphs (2012) (136)
- Centralities in Large Networks: Algorithms and Observations (2011) (135)
- Information spreading in context (2011) (129)
- Classification of Digital Photos Taken by Photographers or Home Users (2004) (129)
- GBASE: a scalable and general graph management system (2011) (128)
- Colibri: fast mining of large static and dynamic graphs (2008) (126)
- Fast and reliable anomaly detection in categorical data (2012) (125)
- Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection (2011) (123)
- TANGENT: a novel, 'Surprise me', recommendation algorithm (2009) (122)
- Generalized Manifold-Ranking-Based Image Retrieval (2006) (120)
- Fast Random Walk Graph Kernel (2012) (109)
- Proximity Tracking on Time-Evolving Bipartite Graphs (2008) (103)
- Fast direction-aware proximity for graph mining (2007) (102)
- Graph based multi-modality learning (2005) (102)
- Make It or Break It: Manipulating Robustness in Large Networks (2014) (81)
- Node Immunization on Large Graphs: Theory and Algorithms (2016) (78)
- HDMI: High-order Deep Multiplex Infomax (2021) (76)
- Diversified ranking on large graphs: an optimization viewpoint (2011) (76)
- Detecting high-quality posts in community question answering sites (2015) (75)
- Epidemic Spread in Mobile Ad Hoc Networks: Determining the Tipping Point (2011) (73)
- PC-Fairness: A Unified Framework for Measuring Causality-based Fairness (2019) (72)
- Metric forensics: a multi-level approach for mining volatile graphs (2010) (71)
- Social Network Analysis in Enterprise (2012) (68)
- Dual-Regularized One-Class Collaborative Filtering (2014) (68)
- The impact of diabetes mellitus and other chronic medical conditions on health-related Quality of Life: Is the whole greater than the sum of its parts? (2005) (68)
- gbase: an efficient analysis platform for large graphs (2012) (64)
- InFoRM: Individual Fairness on Graph Mining (2020) (64)
- Fractional Immunization in Networks (2013) (61)
- Inside the atoms: ranking on a network of networks (2014) (59)
- Spatial-temporal traffic flow pattern identification and anomaly detection with dictionary-based compression theory in a large-scale urban network (2016) (59)
- NEMO: Next Career Move Prediction with Contextual Embedding (2017) (58)
- A Local Algorithm for Structure-Preserving Graph Cut (2017) (57)
- Multi-Layered Network Embedding (2018) (56)
- FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks (2016) (55)
- Replacing the Irreplaceable: Fast Algorithms for Team Member Recommendation (2014) (54)
- Learning No-Reference Quality Metric by Examples (2005) (54)
- GRAPHITE: A Visual Query System for Large Graphs (2008) (53)
- Data Augmentation for Deep Graph Learning: A Survey (2022) (53)
- No-reference quality assessment for JPEG2000 compressed images (2004) (52)
- Recommending People in Developers' Collaboration Network (2011) (52)
- Facets: Fast Comprehensive Mining of Coevolving High-order Time Series (2015) (51)
- Panther: Fast Top-k Similarity Search on Large Networks (2015) (51)
- Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing (2016) (51)
- User churn in focused question answering sites: characterizations and prediction (2014) (50)
- MATRI: a multi-aspect and transitive trust inference model (2013) (50)
- Flexible and Robust Multi-Network Clustering (2015) (50)
- GMine: a system for scalable, interactive graph visualization and mining (2006) (47)
- Few-shot Network Anomaly Detection via Cross-network Meta-learning (2021) (47)
- Online Travel Mode Identification Using Smartphones With Battery Saving Considerations (2016) (47)
- Mean version space: a new active learning method for content-based image retrieval (2004) (46)
- VEGAS: Visual influEnce GrAph Summarization on Citation Networks (2015) (45)
- Mining Connection Pathways for Marked Nodes in Large Graphs (2013) (45)
- Commit Message Generation for Source Code Changes (2019) (45)
- Fairness-aware Agnostic Federated Learning (2020) (44)
- FIRST: Fast Interactive Attributed Subgraph Matching (2017) (43)
- Eigen-Optimization on Large Graphs by Edge Manipulation (2016) (43)
- Want a Good Answer? Ask a Good Question First! (2013) (42)
- Graph Convolutional Networks: Algorithms, Applications and Open Challenges (2018) (41)
- Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining (2019) (40)
- g-Miner: Interactive Visual Group Mining on Multivariate Graphs (2015) (40)
- GenDeR: A Generic Diversified Ranking Algorithm (2012) (39)
- Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison (2015) (39)
- Manifold-Ranking-Based Keyword Propagation for Image Retrieval (2006) (38)
- Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion (2014) (37)
- Dynamic Knowledge Graph Alignment (2021) (36)
- SympGraph: a framework for mining clinical notes through symptom relation graphs (2012) (36)
- Fast Eigen-Functions Tracking on Dynamic Graphs (2015) (36)
- MAGE: Matching approximate patterns in richly-attributed graphs (2014) (35)
- HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection (2017) (35)
- Rare Category Characterization (2010) (35)
- Multilevel Network Alignment (2019) (35)
- A Brief Review of Network Embedding (2019) (34)
- Fast Mining of a Network of Coevolving Time Series (2015) (31)
- Blockwise Human Brain Network Visual Comparison Using NodeTrix Representation (2017) (31)
- MET: A Fast Algorithm for Minimizing Propagation in Large Graphs with Small Eigen-Gaps (2015) (30)
- Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data (2017) (30)
- Tag2Word: Using Tags to Generate Words for Content Based Tag Recommendation (2016) (30)
- Large Graph Analysis in the GMine System (2015) (29)
- Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model (2016) (29)
- Robust bilinear factorization with missing and grossly corrupted observations (2015) (28)
- VISAGE: Interactive Visual Graph Querying (2016) (28)
- A View-Adversarial Framework for Multi-View Network Embedding (2020) (27)
- FASTEN: Fast Sylvester Equation Solver for Graph Mining (2018) (27)
- Attributed Network Alignment: Problem Definitions and Fast Solutions (2019) (26)
- iSphere: Focus+Context Sphere Visualization for Interactive Large Graph Exploration (2017) (26)
- Towards Evolutionary Nonnegative Matrix Factorization (2011) (26)
- Robust Multi-Network Clustering via Joint Cross-Domain Cluster Alignment (2015) (26)
- RolX: Role Extraction and Mining in Large Networks (2011) (25)
- iNEAT: Incomplete Network Alignment (2017) (25)
- Visual Graph Query Construction and Refinement (2017) (25)
- BRIGHT: A Bridging Algorithm for Network Alignment (2021) (25)
- RaPare: A Generic Strategy for Cold-Start Rating Prediction Problem (2017) (25)
- The Child is Father of the Man: Foresee the Success at the Early Stage (2015) (25)
- Hashtag Recommendation for Photo Sharing Services (2019) (24)
- HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation (2021) (24)
- Hierarchical Focus+Context Heterogeneous Network Visualization (2014) (24)
- Semi-supervised learning with nuclear norm regularization (2013) (23)
- Data-driven Computational Social Science: A Survey (2020) (22)
- Trustworthy Graph Neural Networks: Aspects, Methods and Trends (2022) (22)
- On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control (2015) (22)
- Robust Principal Component Analysis with Adaptive Neighbors (2019) (22)
- G-Finder: Approximate Attributed Subgraph Matching (2019) (21)
- Fast mining of complex time-stamped events (2008) (20)
- Guiding supervised topic modeling for content based tag recommendation (2018) (20)
- Towards Optimal Connectivity on Multi-Layered Networks (2017) (19)
- AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks (2021) (19)
- Multiplex Graph Neural Network for Extractive Text Summarization (2021) (18)
- Overlapping Clustering with Sparseness Constraints (2012) (18)
- Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions (2017) (18)
- Robust Embedded Deep K-means Clustering (2019) (18)
- Adversarial Graph Contrastive Learning with Information Regularization (2022) (17)
- Cheetah: Fast Graph Kernel Tracking on Dynamic Graphs (2015) (17)
- MrMine: Multi-resolution Multi-network Embedding (2019) (17)
- Fast and Flexible Top-k Similarity Search on Large Networks (2017) (17)
- Version-Aware Rating Prediction for Mobile App Recommendation (2017) (17)
- Fair Graph Mining (2021) (17)
- Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization (2021) (17)
- Network of Tensor Time Series (2021) (17)
- Graph Vulnerability and Robustness: A Survey (2021) (17)
- Measuring Proximity on Graphs with Side Information (2008) (16)
- Pseudo Relevance Feedback Based on Iterative Probabilistic One-Class SVMs in Web Image Retrieval (2004) (16)
- HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction (2020) (16)
- Predicting long-term impact of CQA posts: a comprehensive viewpoint (2014) (16)
- Multi-Aspect + Transitivity + Bias: An Integral Trust Inference Model (2014) (15)
- CooBa: Cross-project Bug Localization via Adversarial Transfer Learning (2020) (15)
- AURORA: Auditing PageRank on Large Graphs (2018) (15)
- An Integral Tag Recommendation Model for Textual Content (2019) (14)
- QUINT: On Query-Specific Optimal Networks (2016) (14)
- ORIGIN: Non-Rigid Network Alignment (2019) (14)
- Spiral of Silence in Recommender Systems (2019) (14)
- TourViz: interactive visualization of connection pathways in large graphs (2012) (14)
- High-Order Structure Exploration on Massive Graphs (2021) (14)
- N2N: Network Derivative Mining (2019) (13)
- An Integrated Tag Recommendation Algorithm Towards Weibo User Profiling (2015) (13)
- On the eigen‐functions of dynamic graphs: Fast tracking and attribution algorithms (2017) (13)
- Few-shot Insider Threat Detection (2020) (13)
- Event Time Extraction and Propagation via Graph Attention Networks (2021) (13)
- Bug Localization via Supervised Topic Modeling (2018) (13)
- Mobile Crowd Assisted Navigation for the Visually Impaired (2015) (13)
- RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network (2022) (13)
- Graph Communal Contrastive Learning (2021) (12)
- Subgraph Extraction for Trust Inference in Social Networks (2012) (12)
- Graph Sanitation with Application to Node Classification (2021) (12)
- Unsupervised Attributed Network Embedding via Cross Fusion (2021) (12)
- Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs (2021) (12)
- Demonstrating Interactive Multi-resolution Large Graph Exploration (2013) (12)
- NetTrans: Neural Cross-Network Transformation (2020) (12)
- Location Prediction for Tweets (2019) (11)
- Flow-Based Influence Graph Visual Summarization (2014) (11)
- Node Immunization with Non-backtracking Eigenvalues (2020) (11)
- Balancing Consistency and Disparity in Network Alignment (2021) (10)
- Travel Mode Identification with Smartphones (2015) (10)
- Fast Monitoring Proximity and Centrality on Time-evolving Bipartite Graphs (2008) (10)
- Gateway finder in large graphs: problem definitions and fast solutions (2012) (10)
- Visual Analytics of Anomalous User Behaviors: A Survey (2019) (10)
- Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction (2021) (10)
- Accelerometer-based Activity Recognition on Smartphone (2014) (10)
- Guest Editorial: Big Scholar Data Discovery and Collaboration (2016) (10)
- Network Connectivity Optimization: Fundamental Limits and Effective Algorithms (2018) (10)
- MultiFair: Multi-Group Fairness in Machine Learning (2021) (9)
- Joint voting prediction for questions and answers in CQA (2014) (9)
- iPoG: fast interactive proximity querying on graphs (2009) (9)
- Multiple random walk and its application in content-based image retrieval (2005) (9)
- Enhancing supervised bug localization with metadata and stack-trace (2020) (9)
- Fast Monitoring Proximity and Centrality on Time‐evolving Bipartite Graphs (2008) (9)
- DISCO: Comprehensive and Explainable Disinformation Detection (2022) (9)
- VariFunNet, an integrated multiscale modeling framework to study the effects of rare non-coding variants in genome-wide association studies: Applied to Alzheimer's disease (2017) (9)
- Backdoor Attack through Frequency Domain (2021) (9)
- Attent: Active Attributed Network Alignment (2021) (9)
- Visualizing Research Impact through Citation Data (2018) (9)
- Internet Traffic Prediction by W-Boost: Classification and Regression (2005) (9)
- New Frontiers of Multi-Network Mining: Recent Developments and Future Trend (2021) (9)
- OnionGraph: Hierarchical topology+attribute multivariate network visualization (2020) (9)
- Interactive Querying over Large Network Data: Scalability, Visualization, and Interaction Design (2015) (8)
- PaCK: Scalable parameter-free clustering on K-partite graphs (2009) (8)
- Interactive Multi-resolution Exploration of Million Node Graphs (2013) (8)
- KompaRe: A Knowledge Graph Comparative Reasoning System (2020) (8)
- A Boosting-Based Framework for Self-Similar and Non-linear Internet Traffic Prediction (2004) (8)
- TOPIC: Toward perfect Influence Graph Summarization (2016) (7)
- Local Partition in Rich Graphs (2018) (7)
- Automatic Peak Number Detection in Image Symmetry Analysis (2004) (7)
- GENE: Global Event Network Embedding (2021) (7)
- Cross-Dependency Inference in Multi-Layered Networks (2017) (7)
- BASSET: Scalable Gateway Finder in Large Graphs (2010) (7)
- Non‐negative residual matrix factorization: problem definition, fast solutions, and applications (2012) (7)
- Boosting Web image search by co-ranking (2005) (7)
- Scalable Algorithms for CQA Post Voting Prediction (2017) (7)
- HoORaYs: High-order Optimization of Rating Distance for Recommender Systems (2017) (7)
- FASTEN (2018) (7)
- iPath: Forecasting the Pathway to Impact (2016) (7)
- TEAMOPT: Interactive Team Optimization in Big Networks (2016) (7)
- Auditing the Sensitivity of Graph-based Ranking with Visual Analytics (2020) (6)
- Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism (2020) (6)
- X-Rank: Explainable Ranking in Complex Multi-Layered Networks (2018) (6)
- ADMIRING: Adversarial Multi-network Mining (2019) (6)
- FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models (2021) (6)
- COIN: Co-Cluster Infomax for Bipartite Graphs (2022) (6)
- Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering (2020) (6)
- MaTrust: An Effective Multi-Aspect Trust Inference Model (2012) (6)
- Full diffusion history reconstruction in networks (2015) (6)
- BrainQuest: Perception-Guided Brain Network Comparison (2015) (6)
- User-guided Cross-domain Sentiment Classification (2017) (6)
- Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier (2005) (6)
- Which Topic Will You Follow? (2012) (5)
- Hypergraph Pre-training with Graph Neural Networks (2021) (5)
- Discerning Edge Influence for Network Embedding (2019) (5)
- Task-Adversarial Co-Generative Nets (2019) (5)
- Deep Active Learning by Leveraging Training Dynamics (2021) (5)
- An effective framework for characterizing rare categories (2012) (5)
- X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning (2021) (5)
- Bringing Order to Network Embedding: A Relative Ranking based Approach (2020) (5)
- An Invisible Black-Box Backdoor Attack Through Frequency Domain (2022) (5)
- CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities (2020) (4)
- Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model (2020) (4)
- GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics (2018) (4)
- Graph Ranking Auditing: Problem Definition and Fast Solutions (2021) (4)
- How to Optimize an Academic Team When the Outlier Member is Leaving? (2020) (4)
- Extra: explaining team recommendation in networks (2018) (4)
- Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions (2023) (4)
- Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation (2022) (4)
- Spiral of Silence and Its Application in Recommender Systems (2022) (4)
- A deep multimodal model for bug localization (2021) (4)
- A unified optimization based learning method for image retrieval (2005) (4)
- Deep Multi-Task Learning with Adversarial-and-Cooperative Nets (2019) (4)
- Towards Real Time Team Optimization (2019) (4)
- Dual-regularized one-class collaborative filtering with implicit feedback (2019) (4)
- Large Graph Mining: Patterns, Tools and Case Studies (2009) (4)
- WiiCluster: a Platform for Wikipedia Infobox Generation (2014) (4)
- Eiffel: Evolutionary Flow Map for Influence Graph Visualization (2020) (4)
- Personalized travel mode detection with smartphone sensors (2017) (3)
- Visual Analysis of Brain Networks Using Sparse Regression Models (2018) (3)
- Rapid Analysis of Network Connectivity (2017) (3)
- CoNSoLe: Convex Neural Symbolic Learning (2022) (3)
- Structured Low-Rank Matrix Factorization with Missing and Grossly Corrupted Observations (2014) (3)
- SelfTrust: leveraging self-assessment for trust inference in Internetware (2013) (3)
- Batch Active Learning with Graph Neural Networks via Multi-Agent Deep Reinforcement Learning (2022) (3)
- Decoupled Representation Learning for Attributed Networks (2021) (3)
- Supervised Link Prediction Using Random Walks (2015) (3)
- Realtime Robustification of Interdependent Networks under Cascading Attacks (2018) (3)
- Adaptive Feature Redundancy Minimization (2019) (3)
- Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders (2021) (3)
- Islands and Bridges: Making Sense of Marked Nodes in Large Graphs ? (2013) (3)
- NetDyna: Mining Networked Coevolving Time Series with Missing Values (2019) (3)
- Improved Algorithms for Neural Active Learning (2022) (3)
- Fair Representation Learning: An Alternative to Mutual Information (2022) (2)
- Towards Explainable Networked Prediction (2018) (2)
- Incremental one-class collaborative filtering with co-evolving side networks (2020) (2)
- InfoFair: Information-Theoretic Intersectional Fairness (2021) (2)
- Network Alignment: Recent Advances and Future Directions (2020) (2)
- The Links Have It: Infobox Generation by Summarization over Linked Entities (2014) (2)
- Network Science of Teams: Characterization, Prediction, and Optimization (2018) (2)
- Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders (2021) (2)
- Network based models and path based features for gene prioritization (2016) (2)
- From Brain Imaging to Graph Analysis: a study on ADNI's patient cohort (2019) (2)
- Guest editorial: special issue on data mining technologies for computational social science (2012) (2)
- Interactively and Visually Exploring Tours of Marked Nodes in Large Graphs (2012) (2)
- Fractional Immunization in Hospital-transfer Graphs (2011) (2)
- Inferring Full Diffusion History from Partial Timestamps (2020) (2)
- Proximity Tracking on Dynamic Bipartite Graphs: Problem Definitions and Fast Solutions (2010) (2)
- ARIEL: Adversarial Graph Contrastive Learning (2022) (2)
- Special focus on natural language processing and social computing (2017) (2)
- SuGeR: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation (2022) (1)
- Feature Generation for Graphs and Networks (2018) (1)
- Pairwise trust inference by subgraph extraction (2013) (1)
- Learning Optimal Propagation for Graph Neural Networks (2022) (1)
- Ranking on Network of Heterogeneous Information Networks (2020) (1)
- Social Network Analysis in Enterprise This paper focuses on the challenges and solutions in mining and analyzing social networks in enterprises; the authors base their study on a social network analysis tool called SmallBlue. (2012) (1)
- REFORM: Fast and Adaptive Solution for Subteam Replacement (2021) (1)
- Toward Generative Narrative Models of the Course and Resolution of Conflict (2019) (1)
- Fast Graph Kernel Tracking on Dynamic Graphs (2014) (1)
- Direction-Aware Proximity on Graphs (2009) (1)
- Computational Approaches to the Network Science of Teams (2020) (1)
- Auditing Network Embedding: An Edge Influence Based Approach (2021) (1)
- Reference point based near insertion approach and two-stage approach for TSP (2004) (1)
- Fast Connectivity Minimization on Large-Scale Networks (2021) (1)
- On the Measurement and Prediction of Web Content Utility: A Review (2017) (1)
- Automatic Navbox Generation by Interpretable Clustering over Linked Entities (2017) (1)
- Combining Code Context and Fine-grained Code Difference for Commit Message Generation (2022) (1)
- Schema-Guided Event Graph Completion (2022) (1)
- Mage: Expressive Pattern Matching in Richly-Attributed Graphs (2013) (1)
- Detecting Topology Attacks against Graph Neural Networks (2022) (1)
- Privacy-preserving Graph Analytics: Secure Generation and Federated Learning (2022) (1)
- Graph based anomaly detection and description: a survey (2014) (1)
- Fast algorithms for querying and mining large graphs (2009) (1)
- Towards topic following in heterogeneous information networks (2015) (1)
- A Deep Learning Dataloader with Shared Data Preparation (2022) (1)
- Enhancing bug localization with bug report decomposition and code hierarchical network (2022) (1)
- Robust network construction against intentional attacks (2015) (1)
- Query complex graph patterns: tools and applications (2014) (1)
- RolX : Extracting Predictive Roles from Graphs (2011) (0)
- Enhancing supervised bug localization with metadata and stack-trace (2020) (0)
- Concept Discovery for Fast Adapatation (2023) (0)
- GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network (2022) (0)
- Gateway finder in large graphs: problem definitions and fast solutions (2012) (0)
- Large scale network analysis workshop chairs' welcome message (lsna 2013) (2013) (0)
- Session details: LSNA'13 workshop (2012) (0)
- Data Capturing and Processing (2018) (0)
- Structure Meets Sequences: Predicting Network of Co-evolving Sequences (2022) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Visualizing research impact through citation data Visualizing research impact through citation data (2020) (0)
- Welcome from the ASONAM 2016 program chairs (2016) (0)
- Uncovering Teamwork in Networks — Prediction, Optimization and Explanation (2017) (0)
- Embedding text-rich graph neural networks with sequence and topical semantic structures (2022) (0)
- On the Vulnerability of Graph Learning based Collaborative Filtering (2022) (0)
- 1st workshop on diffusion networks and cascade analytics (2014) (0)
- EventKE: Event-Enhanced Knowledge Graph Embedding (2021) (0)
- An effective framework for characterizing rare categories (2012) (0)
- Guest editorial (2014) (0)
- ACM DAVA'16: 2nd International Workshop on DAta mining meets Visual Analytics at Big Data Era (2016) (0)
- Mobile Data Mining (2018) (0)
- Retrieval Based Time Series Forecasting (2022) (0)
- + Image features Text features × × Softmax (2018) (0)
- Preface (2016) (0)
- Editor’s Note - Special Issue on Geo-Social Computing (2019) (0)
- Team Expansion in Collaborative Environments (2018) (0)
- Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Visualizing research impact through citation data Visualizing research impact through citation data (2020) (0)
- Graphite : A Tool for Visually Querying Large Social Networks (2008) (0)
- Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued) (2016) (0)
- YACC: A Framework Generalizing TuránShadow for Counting Large Cliques (2022) (0)
- Dual-regularized one-class collaborative filtering with implicit feedback (2018) (0)
- SelfTrust: leveraging self-assessment for trust inference in Internetware (2013) (0)
- ABM: Attention-based Message Passing Network for Knowledge Graph Completion (2022) (0)
- Message from the Workshop Co-Chairs (2018) (0)
- Geometric Matrix Completion via Sylvester Multi-Graph Neural Network (2022) (0)
- Computational Data and Social Networks: 8th International Conference, CSoNet 2019, Ho Chi Minh City, Vietnam, November 18–20, 2019, Proceedings (2019) (0)
- Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs (2022) (0)
- Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model (2016) (0)
- Inside the Atoms: Mining a Network of Networks and Beyond (2017) (0)
- Incomplete Network Alignment (2020) (0)
- SHIFTR : A Fast and Scalable System for Ad Hoc Sensemaking of Large Graphs (2011) (0)
- EcoLens: Visual Analysis of Urban Region Dynamics Using Traffic Data (2019) (0)
- Non-backtracking Eigenvalues under Node Removal: X-Centrality and Targeted 1 Immunization (2021) (0)
- Pairwise trust inference by subgraph extraction (2013) (0)
- DESTINE: Dense Subgraph Detection on Multi-Layered Networks (2021) (0)
- BigNet'17 workshop chairs' welcome (2019) (0)
- Factor Matrix Nuclear Norm Minimization for Low-Rank Tensor Completion (2014) (0)
- Generalized Few-Shot Node Classification (2022) (0)
- BigNet 2016: First Workshop on Big Network Analytics (2016) (0)
- Mining and Visualizing Connection Pathways in Large Information Networks (2012) (0)
- Assessing and Altering Robustness of Large Graphs (2014) (0)
- Special focus on natural language processing and social computing (2017) (0)
- Fair Regression under Sample Selection Bias (2021) (0)
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What Schools Are Affiliated With Hanghang Tong?
Hanghang Tong is affiliated with the following schools:
