| What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks | Jun 27, 2024 | Stochastic Block Model | CodeCode Available | 1 |
| Examining the Effects of Degree Distribution and Homophily in Graph Learning Models | Jul 17, 2023 | BenchmarkingGraph Clustering | CodeCode Available | 1 |
| When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability | Apr 25, 2023 | Node ClassificationStochastic Block Model | CodeCode Available | 1 |
| Synergistic Graph Fusion via Encoder Embedding | Mar 31, 2023 | ClassificationGraph Embedding | CodeCode Available | 1 |
| Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost | Oct 27, 2022 | Stochastic Block Model | CodeCode Available | 1 |
| MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian | Sep 1, 2022 | Graph Neural NetworkLink Prediction | CodeCode Available | 1 |
| Graph Attention Retrospective | Feb 26, 2022 | Graph AttentionNode Classification | CodeCode Available | 1 |
| SSSNET: Semi-Supervised Signed Network Clustering | Oct 13, 2021 | Cloud RemovalClustering | CodeCode Available | 1 |
| One-Hot Graph Encoder Embedding | Sep 27, 2021 | ClusteringGraph Embedding | CodeCode Available | 1 |
| On the Universality of Graph Neural Networks on Large Random Graphs | May 27, 2021 | Stochastic Block Model | CodeCode Available | 1 |
