jliu / graph-normalizing-flowsLinks
Code for Graph Normalizing Flows.
☆61Updated 5 years ago
Alternatives and similar repositories for graph-normalizing-flows
Users that are interested in graph-normalizing-flows are comparing it to the libraries listed below
Sorting:
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆110Updated last year
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆104Updated 5 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆62Updated 4 years ago
- ☆38Updated 4 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- ☆44Updated 7 years ago
- ☆28Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 3 years ago
- ☆59Updated 3 years ago
- Code for Optimal Transport for structured data with application on graphs☆100Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆77Updated 5 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆45Updated 4 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- ☆16Updated 5 years ago
- ☆35Updated 5 years ago
- ☆122Updated 2 years ago
- ☆62Updated 4 years ago
- ☆20Updated 4 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆79Updated 3 years ago