SwiftieH / IGNNLinks
Implicit Graph Neural Networks
☆64Updated 4 years ago
Alternatives and similar repositories for IGNN
Users that are interested in IGNN are comparing it to the libraries listed below
Sorting:
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- ☆31Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- ☆30Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆62Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Updated 4 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Official implementation of our FLAG paper (CVPR2022)☆144Updated 3 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆200Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆145Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Updated 3 years ago