Table of Content
- Pioneer Works
- Problem Rethinking
- Parwise Node Similarity and Dissimilarity
- Topology-Structure vs Node-Features
- Spectral Filtering
- Node-wise Learning
- Connection to Robustness and Oversmoothing
- Generative Unsupervised Learning
- Benchmarks
- Other Categories
- Web Resource
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2020 | Geom-GCN: Geometric Graph Convolutional Networks | ICLR 2020 | Link | Link |
2020 | Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs | NeurIPS 2020 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2022 | Is Homophily a necessity for graph neural networks? | ICLR 2022 | Link | Link |
2021 | Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? | Arxiv 2021 | Link | Link |
2021 | On Local Aggregation in Heterophilic Graphs | Arxiv 2021 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2021 | Beyond Low-frequency Information in Graph Convolutional Networks | AAAI 2021 | Link | Link |
2021 | Node Similarity Preserving Graph Convolutional Networks | WSDM 2021 | Link | Link |
2022 | Polarized Graph Neural Networks | WWW 2022 | Link | Link |
2022 | GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily | WWW 2022 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2021 | Graph Structure Estimation Neural Networks | WWW 2021 | Link | Link |
2021 | WGCN: Graph Convolutional Networks with Weighted Structural Features | SIGIR 2021 | Link | Link |
2021 | Graph Neural Networks with Heterophily | AAAI 2021 | Link | Link |
2022 | Graph Neural Networks Beyond Compromise Between Attributeand Topology | WWW 2022 | Link | Link |
2022 | ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting | Arxiv 2022 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2021 | Adaptive Universal Generalized PageRank Graph Neural Network | ICLR 2021 | Link | Link |
2021 | BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation | NeurIPS 2021 | Link | Link |
2022 | Simplified Graph Convolution with Heterophily | NeuraIPS 2022 | Link | Link |
2022 | How Powerful are Spectral Graph Neural Networks | ICML 2022 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2021 | Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns | KDD 2021 | Link | Link |
2022 | Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily | WWW 2022 | Link | Link |
2022 | PA-GNN: Parameter-Adaptive Graph Neural Networks | ICML WS 2022 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2022 | Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs | NeuraIPS 2022 | Link | Link |
2022 | How does Heterophily Impact the Robustness of Graph NeuralNetworks? Theoretical Connections and Practical Implications | KDD 2022 | Link | Link |
2022 | Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks | ICDM 2022 | Link | Link |
2022 | Understanding and Improving Graph Injection Attack by Promoting Unnoticeability | ICLR 2022 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2022 | Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction | ICLR 2022 | Link | Link |
2022 | Decoupled Self-supervised Learning for Non-Homophilous Graphs | NeuraIPS 2022 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2021 | New Benchmarks for Learning on Non-Homophilous Graphs | WWW 2021 | Link | Link |
2021 | Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | NeurIPS 2021 | Link | Link |
Year | Title | Venue | Paper | Code |
---|---|---|---|---|
2021 | Universal Graph Convolutional Networks | NeurIPS 2021 | Link | Link |
2021 | Effective Eigendecomposition based Graph Adaptation for Heterophilic Networks | Arxiv 2021 | Link | Link |
2021 | Label-informed Graph Structure Learning for Node Classification | CIKM 2021 | Link | Link |
2022 | Block Modeling-Guided Graph Convolutional Neural Networks | AAAI 2022 | Link | Link |
2022 | Deformable Graph Convolutional Networks | AAAI 2022 | Link | Link |
2022 | Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily | AAAI 2022 | Link | Link |
2022 | Label-Wise Message Passing Graph Neural Network on Heterophilic Graphs | Arxiv 2022 | Link | Link |