jliu / graph-normalizing-flows
Code for Graph Normalizing Flows.
☆60Updated 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
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆108Updated last year
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- GraphCON (ICML 2022)☆59Updated 2 years ago
- ☆37Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 3 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆103Updated 4 years ago
- ☆26Updated 3 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 2 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆123Updated last year
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆59Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆86Updated last year
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆25Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 3 months ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 3 years ago
- ☆30Updated last year
- Official release of code for "Oops I Took A Gradient: Scalable Sampling for Discrete Distributions"☆54Updated last year
- ☆60Updated 2 years ago
- ☆41Updated 2 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 2 years ago
- Repository for Autobahn: Automorphism Based Graph Neural Networks☆29Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 4 years ago
- GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation☆51Updated last year
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019☆133Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆40Updated last year