PurdueMINDS / EquivalenceLinks
Equivalence Between Structural Representations and Positional Node Embeddings
☆22Updated 5 years ago
Alternatives and similar repositories for Equivalence
Users that are interested in Equivalence are comparing it to the libraries listed below
Sorting:
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- ☆31Updated 2 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- ☆35Updated 6 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- ☆12Updated 5 years ago
- Implicit Graph Neural Networks☆62Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- ☆28Updated 3 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated 11 months ago
- Implementation of SBM-meet-GNN☆23Updated 6 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 3 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated 10 months ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 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
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago