 DropEdge not Foolproof: Effective Augmentation Method for Signed Graph
Neural NetworksNeural Information Processing Systems (NeurIPS), 2024 |
 CSG: Curriculum Representation Learning for Signed GraphNeural Networks (Neural Netw.), 2023 |
 Enhancing Student Performance Prediction on Learnersourced Questions
with SGNN-LLM SynergyAAAI Conference on Artificial Intelligence (AAAI), 2023 |
 Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling
ModelIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 |
 Model-Agnostic Augmentation for Accurate Graph ClassificationThe Web Conference (WWW), 2022 |
 Interpretable Signed Link Prediction with Signed Infomax Hyperbolic
GraphIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 |
