gear / graph-homomorphism-network
Graph Homomorphism Convolution (ICML'20)
☆12Updated last year
Alternatives and similar repositories for graph-homomorphism-network:
Users that are interested in graph-homomorphism-network are comparing it to the libraries listed below
- ☆12Updated 3 years ago
- ☆30Updated 2 years ago
- LDP for graph classification☆23Updated 5 years ago
- ☆27Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 5 years ago
- Network Density of States (https://arxiv.org/abs/1905.09758) (KDD 2019)☆25Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Certifiable Robustness to Graph Perturbations☆13Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …☆19Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- ☆11Updated 3 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 4 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Updated 4 years ago
- ☆12Updated 5 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 5 years ago
- Learning Tree structures and Tree metrics☆23Updated 8 months ago
- ☆35Updated 5 years ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Updated last year
- ☆25Updated 3 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago