delta2323 / gnn-asymptoticsLinks
Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
☆30Updated 5 years ago
Alternatives and similar repositories for gnn-asymptotics
Users that are interested in gnn-asymptotics are comparing it to the libraries listed below
Sorting:
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- ☆35Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated 11 months ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- ☆31Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆44Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- ☆25Updated 4 years ago
- ☆12Updated 4 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- ☆30Updated 2 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years ago
- ☆28Updated 3 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆125Updated 11 months ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 4 years ago
- Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)☆34Updated 4 years ago