PurdueMINDS / Equivalence
Equivalence Between Structural Representations and Positional Node Embeddings
☆21Updated 5 years ago
Alternatives and similar repositories for Equivalence:
Users that are interested in Equivalence are comparing it to the libraries listed below
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Implementation of SBM-meet-GNN☆23Updated 5 years ago
- ☆30Updated 2 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- ☆35Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 5 years ago
- ☆27Updated 3 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- ☆12Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆35Updated 3 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Poincaré Embedding☆40Updated 7 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 9 months ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 8 months ago
- ☆45Updated 4 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 3 years ago
- SetToGraph paper repository☆22Updated 4 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 6 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 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
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆31Updated 2 years ago