2025
SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding.
CoRR, June, 2025
GT-SVQ: A Linear-Time Graph Transformer for Node Classification Using Spiking Vector Quantization.
CoRR, April, 2025
Are Large Language Models In-Context Graph Learners?
CoRR, February, 2025
Measuring Diversity in Synthetic Datasets.
CoRR, February, 2025
FairDLA: Improving the fairness-utility trade-off in graph neural networks via dual-level alignment.
Knowl. Based Syst., 2025
Long-term evolutionary patterns matter: Self-supervised anomaly detection on dynamic graphs.
Knowl. Based Syst., 2025
Capturing latent evolution in dynamic graph: A dual-view architecture from spectral perspective.
Knowl. Based Syst., 2025
A rule-guided interpretable lightweight framework for fetal standard ultrasound plane capture and biometric measurement.
Neurocomputing, 2025
AP-Net: Semi-Supervised Ultrasound Cardiac Segmentation Using Enhanced Anatomical Prior.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation.
IEEE Trans. Comput. Soc. Syst., October, 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective.
CoRR, 2024
L<sup>2</sup>CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering.
CoRR, 2024
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes.
CoRR, 2024
Fair Graph Representation Learning via Sensitive Attribute Disentanglement.
Proceedings of the ACM on Web Conference 2024, 2024
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Rethinking and Simplifying Bootstrapped Graph Latents.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
State Space Models on Temporal Graphs: A First-Principles Study.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Topology-monitorable Contrastive Learning on Dynamic Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Spectral Adversarial Training for Robust Graph Neural Network.
IEEE Trans. Knowl. Data Eng., September, 2023
Adversarial Attack on Large Scale Graph.
IEEE Trans. Knowl. Data Eng., 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2023
Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning.
CoRR, 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs.
CoRR, 2023
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2023
SAILOR: Structural Augmentation Based Tail Node Representation Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
GUARD: Graph Universal Adversarial Defense.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Unifying multi-associations through hypergraph for bundle recommendation.
Knowl. Based Syst., 2022
Graph Enhanced Neural Interaction Model for recommendation.
Knowl. Based Syst., 2022
Are All Edges Necessary? A Unified Framework for Graph Purification.
CoRR, 2022
MaskGAE: Masked Graph Modeling Meets Graph Autoencoders.
CoRR, 2022
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2022
GUARD: Graph Universal Adversarial Defense.
CoRR, 2022
Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift.
CoRR, 2022
Neighboring Backdoor Attacks on Graph Convolutional Network.
CoRR, 2022
Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Spiking Graph Convolutional Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Phishing Scams Detection in Ethereum Transaction Network.
ACM Trans. Internet Techn., 2021
Understanding Structural Vulnerability in Graph Convolutional Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021
2020
A Survey of Adversarial Learning on Graphs.
CoRR, 2020
Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020