2025
Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs.
CoRR, May, 2025
SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation.
CoRR, May, 2025
Fairness and Diversity in Recommender Systems: A Survey.
ACM Trans. Intell. Syst. Technol., February, 2025
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.
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CoRR, February, 2025
Personalization of Large Language Models: A Survey.
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Trans. Mach. Learn. Res., 2025
Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.
J. Chem. Inf. Model., 2025
Edge Classification on Graphs: New Directions in Topological Imbalance.
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025
Demystifying the Power of Large Language Models in Graph Generation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
A Large-scale Training Paradigm for Graph Generative Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Real-Time Freeway Traffic Anomalous Event Detection System via Radar Detector Sensors.
Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, 2025
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.
IEEE Trans. Knowl. Data Eng., December, 2024
A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions.
CoRR, 2024
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs.
CoRR, 2024
Large Generative Graph Models.
CoRR, 2024
Augmenting Textual Generation via Topology Aware Retrieval.
CoRR, 2024
Knowledge Graph-based Session Recommendation with Adaptive Propagation.
CoRR, 2024
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.
Proceedings of the ACM on Web Conference 2024, 2024
Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
The 5th International Workshop on Machine Learning on Graphs (MLoG).
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Robust Graph Neural Networks via Unbiased Aggregation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
FairNNV: The Neural Network Verification Tool For Certifying Fairness.
Proceedings of the 5th ACM International Conference on AI in Finance, 2024
Topology-aware Retrieval Augmentation for Text Generation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Data Quality-aware Graph Machine Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
EDGE-UP: Enhanced Dynamic GNN Ensemble for Unfollow Prediction in Online Social Networks.
Proceedings of the Social Networks Analysis and Mining - 16th International Conference, 2024
Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Knowledge Graph Prompting for Multi-Document Question Answering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.
IEEE Trans. Knowl. Data Eng., December, 2023
A Survey of Graph Unlearning.
CoRR, 2023
Collaboration-Aware Graph Convolutional Network for Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023
The 3rd International Workshop on Machine Learning on Graphs (MLoG).
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation.
Proceedings of the International Conference on Machine Learning and Applications, 2023
An Analysis of the Dynamics of Ties on Twitter.
Proceedings of the IEEE International Conference on Big Data, 2023
Fairness and Explainability: Bridging the Gap towards Fair Model Explanations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Collaboration-Aware Graph Convolutional Networks for Recommendation Systems.
CoRR, 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
ChemicalX: A Deep Learning Library for Drug Pair Scoring.
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Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
On Structural Explanation of Bias in Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Decision Boundaries of Deep Neural Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Degree-Related Bias in Link Prediction.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
THINK: Temporal Hypergraph Hyperbolic Network.
Proceedings of the IEEE International Conference on Data Mining, 2022
Enhancing Individual Fairness through Propensity Score Matching.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
PAS: Privacy Algorithms in Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Inferring EHR Utilization Workflows through Audit Logs.
Proceedings of the AMIA 2022, 2022
2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.
CoRR, 2021
Node Similarity Preserving Graph Convolutional Networks.
Proceedings of the WSDM '21, 2021
Graph Adversarial Attack via Rewiring.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Attacking Black-box Recommendations via Copying Cross-domain User Profiles.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Interpretable Visual Understanding with Cognitive Attention Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Road to the White House: Analyzing the Relations Between Mainstream and Social Media During the U.S. Presidential Primaries.
Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021
Tree Decomposed Graph Neural Network.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Graph Feature Gating Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Deep Adversarial Network Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Link and interaction polarity predictions in signed networks.
Soc. Netw. Anal. Min., 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction.
CoRR, 2020
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models.
CoRR, 2020
ROSE: Role-based Signed Network Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Network Analysis with Negative Links.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Epidemic Graph Convolutional Network.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Understanding and Promoting Teacher Connections in Online Social Media: A Case Study on Pinterest.
Proceedings of the IEEE International Conference on Teaching, 2020
Characterizing Teacher Connections in Online Social Media: A Case Study on Pinterest.
Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020
Deep Graph Learning: Foundations, Advances and Applications.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Learning from Incomplete Labeled Data via Adversarial Data Generation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Online Academic Course Performance Prediction using Relational Graph Convolutional Neural Network.
Proceedings of the 13th International Conference on Educational Data Mining, 2020
Towards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020
2019
Characterizing the Decision Boundary of Deep Neural Networks.
CoRR, 2019
Say What I Want: Towards the Dark Side of Neural Dialogue Models.
CoRR, 2019
Deep Adversarial Social Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Balance in Signed Bipartite Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Multi-factor congressional vote prediction.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Signed Graph Convolutional Network.
CoRR, 2018
Congressional Vote Analysis Using Signed Networks.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
Signed Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Data Mining, 2018
Signed Network Modeling Based on Structural Balance Theory.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Opinions Power Opinions: Joint Link and Interaction Polarity Predictions in Signed Networks.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018
2017
Signed Node Relevance Measurements.
CoRR, 2017
Understanding and Predicting Weight Loss with Mobile Social Networking Data.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017