Selected Publications
Citation Statistics
Asterisk marks (*) indicate authors having contributed (almost) equally.
Conference Papers
- Code Recommendation for Open Source Software Developers
WWW 2023
- A Survey on Deep Graph Generation: Methods and Applications
LoG 2022
- Deep Contrastive Multiview Network Embedding
CIKM 2022
- Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
MICCAI 2022 (Oral)
- Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning
KDD 2022 (Health Day)
- 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
- 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
- Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
IEEE Trans. Knowl. Data Eng.
- BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks
IEEE Trans. Med. Imaging
- Active Learning for Wireless IoT Intrusion Detection
IEEE Wirel. Commun. 25 (6)