KangchengHou / gntkLinks
Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
☆104Updated 5 years ago
Alternatives and similar repositories for gntk
Users that are interested in gntk are comparing it to the libraries listed below
Sorting:
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆139Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Code for Graph Normalizing Flows.☆61Updated 5 years ago
- ☆35Updated 6 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- ☆31Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- ☆16Updated 5 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- ☆44Updated 7 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Updated 2 years ago
- Learning Steady-States of Iterative Algorithms over Graphs☆40Updated 6 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- LDP for graph classification☆23Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆82Updated 9 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
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago