leichen2018 / Ring-GNN
☆12Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Ring-GNN
- ☆30Updated last year
- ☆12Updated 3 years ago
- ☆26Updated 3 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- ☆35Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 2 years ago
- ☆10Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated last year
- The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".☆20Updated 4 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Updated 2 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 3 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- LDP for graph classification☆23Updated 5 years ago
- Low Rank Global Attention for Graph Neural Networks☆12Updated 4 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆49Updated 3 years ago
- informal exposition of Weisfeiler-Leman similarity☆27Updated 3 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- The source code of the paper "Understanding Graph Neural Networks from Graph Signal Denoising Perspectives"☆23Updated 4 years ago
- ☆9Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆23Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated last year
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago