PurdueMINDS / Equivalence
Equivalence Between Structural Representations and Positional Node Embeddings
☆21Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Equivalence
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- ☆35Updated 5 years ago
- ☆30Updated last year
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆51Updated 4 years ago
- ☆12Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated last year
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆101Updated 4 years ago
- Implementation of SBM-meet-GNN☆22Updated 5 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 3 months ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 2 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 4 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- ☆45Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated last year
- ☆26Updated 3 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆49Updated 3 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- Gromov-Wasserstein Factorization Models for Graph Clustering (AAAI-20)☆30Updated 2 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- LDP for graph classification☆23Updated 5 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58Updated 5 years ago
- ☆26Updated 5 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆81Updated 6 years ago
- SetToGraph paper repository☆21Updated 4 years ago