nkeriven / random-graph-gnn
☆12Updated 3 years ago
Alternatives and similar repositories for random-graph-gnn:
Users that are interested in random-graph-gnn are comparing it to the libraries listed below
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- ☆12Updated 4 years ago
- Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning☆20Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 4 years ago
- JAX implementation of Graph Attention Networks☆13Updated 2 years ago
- ☆35Updated 5 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- ☆30Updated last year
- PyTorch Codes for Haar Graph Pooling☆11Updated last year
- ☆26Updated 3 years ago
- ☆17Updated 2 years ago
- Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks☆23Updated 5 years ago
- ☆10Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Updated 3 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆31Updated 3 years ago
- ☆12Updated 4 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- ☆16Updated 3 years ago
- Sample pytorch implementation of Covariant Compositional Networks☆13Updated 6 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 3 years ago
- Fast graph-regularized matrix factorization☆20Updated last year
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated last year
- ☆45Updated 4 years ago