| Identity-aware Graph Neural Networks | Jan 25, 2021 | Graph ClassificationGraph Property Prediction | CodeCode Available | 2 |
| Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention | Apr 21, 2025 | FairnessGraph Representation Learning | CodeCode Available | 1 |
| Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention | Oct 9, 2024 | Graph LearningNode Clustering | CodeCode Available | 1 |
| Graph Parsing Networks | Feb 22, 2024 | Graph ClassificationGraph Reconstruction | CodeCode Available | 1 |
| Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures | Dec 28, 2023 | Node ClassificationNode Clustering | CodeCode Available | 1 |
| Contrastive Deep Nonnegative Matrix Factorization for Community Detection | Nov 4, 2023 | Community DetectionContrastive Learning | CodeCode Available | 1 |
| Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity | Aug 18, 2023 | Graph ClassificationGraph Representation Learning | CodeCode Available | 1 |
| CONVERT:Contrastive Graph Clustering with Reliable Augmentation | Aug 17, 2023 | ClusteringContrastive Learning | CodeCode Available | 1 |
| SR-HGN: semantic- and relation-aware heterogeneous graph neural network | Aug 15, 2023 | Graph Neural NetworkNode Classification | CodeCode Available | 1 |
| Classification of Edge-dependent Labels of Nodes in Hypergraphs | Jun 5, 2023 | ClassificationNode Clustering | CodeCode Available | 1 |
