PurdueMINDS / JanossyPoolingLinks
☆25Updated 6 years ago
Alternatives and similar repositories for JanossyPooling
Users that are interested in JanossyPooling are comparing it to the libraries listed below
Sorting:
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- ☆44Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 5 years ago
- SetToGraph paper repository☆22Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆65Updated 4 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- ☆31Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆107Updated 2 years ago
- ☆35Updated 6 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- ☆76Updated 8 years ago
- Implicit Graph Neural Networks☆63Updated 3 years ago
- Hyperbolic Graph Neural Networks☆240Updated 5 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆141Updated 5 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- A comprehensive collection of GNN works in NeurIPS 2019.☆21Updated 5 years ago
- Code for Graph Normalizing Flows.☆63Updated 5 years ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago