Selected Publications
Citation Statistics
Asterisk marks (*) indicate authors having contributed (almost) equally.
Conference Papers
- Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis MICCAI 2022
- Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning KDD 2022 (Health Day)
- Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis EMBC 2022
- Structure-Enhanced Heterogeneous Graph Contrastive Learning SDM 2022
- An Empirical Study of Graph Contrastive Learning NeurIPS 2021 (Datasets and Benchmarks)
- Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction CIKM 2021
- Deep Active Learning for Text Classification with Diverse Interpretations CIKM 2021
- Mining Latent Structures for Multimedia Recommendation ACMMM 2021 (Oral)
- Graph Contrastive Learning with Adaptive Augmentation WWW 2021
- TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation SIGIR 2020
- Session-based Recommendation with Graph Neural Networks AAAI 2019 (Oral)
Journal Papers
- GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Pattern Recognit. 112
- Active Learning for Wireless IoT Intrusion Detection IEEE Wirel. Commun. 25 (6)
Workshop Papers
Preprints
- BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
- A Survey on Graph Structure Learning: Progress and Opportunities
- A Survey on Deep Graph Generation: Methods and Applications
- Pre-training Graph Neural Networks for Molecular Representations: A Systematic Survey
- Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
- Unsupervised Graph Representation Learning with Cluster-Aware Self-Training and Refining