Publications¶
HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
International Joint Conference on Neural Networks (IJCNN), 2025
Topology-guided Hypergraph Transformer Network: Unveiling Structural Insights for Improved Representations
Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2025 & Stanford Graph Learning Workshop, 2024
DyGL: Dynamic Graph Learning For Event Prediction
IEEE International Conference on Big Data (BigData), 2025
HeTAN: Heterogeneous Graph Triplet Attention Network for Drug Repurposing
IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2024
Tackling Oversmoothing in GNN via Graph Sparsification
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2024
DDI Prediction with Heterogeneous Information Network - Meta-Path Based Approach
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024
Seq-HyGAN: Sequence Classification via Hypergraph Attention Network
ACM International Conference on Information and Knowledge Management (CIKM), 2023 & MLG @ KDD, 2023
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
IEEE International Conference on Data Engineering (ICDE), 2023
DDI Prediction via Heterogeneous Graph Attention Networks
ACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2023 & BioKDD, 2022
Drug Abuse Detection in Twitter-sphere: Graph-Based Approach
IEEE International Conference on Big Data (BigData), 2021
Effects of COVID-19 on individuals in Opioid Addiction Recovery
IEEE International Conference on Machine Learning and Applications (ICMLA), 2021
Drug-Drug Interaction Prediction: a Purely SMILES Based Approach
IEEE International Conference on Big Data (BigData), 2021