Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification.
ACM Trans. Knowl. Discov. Data, February, 2025
Mixture of Link Predictors.
CoRR, 2024
Lightweight GCN Encoder and Sequential Decoder for Multi-Candidate Carpooling Route Planning in Road Network.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Mixture of Link Predictors on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Federated Transformer Hawkes Processes for Distributed Event Sequence Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2024
Structural Fairness-aware Active Learning for Graph Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Curriculum Multi-Level Learning for Imbalanced Live-Stream Recommendation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
ExpoEv: Enhancing Social Recommendation Service with Social Exposure and Feature Evolution.
Proceedings of the IEEE International Conference on Web Services, 2023
Fused User Preference Learning for Task Assignment in Mobile Crowdsourcing.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023
SCRIPT: Sequential Cross-Meta-Information Recommendation in Pretrain and Prompt Paradigm.
Proceedings of the IEEE International Conference on Data Mining, 2023
Attentive Hawkes Process Application for Sequential Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023
FB2vec: A Novel Representation Learning Model for Forwarding Behaviors on Online Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020