jliu / graph-normalizing-flows
Code for Graph Normalizing Flows.
☆62Updated 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
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- 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
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆55Updated 3 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- ☆27Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆61Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- ☆38Updated 4 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- ☆60Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆87Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆124Updated last year
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 2 years ago
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs☆92Updated 2 years ago
- Code for experimentation on graph scattering transforms☆27Updated 5 years ago
- ☆30Updated last year
- ☆42Updated 7 years ago
- ☆45Updated 4 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- ☆20Updated 3 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 3 years ago
- This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph…☆27Updated 2 years ago
- ☆62Updated 4 years ago
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago