jliu / graph-normalizing-flowsLinks
Code for Graph Normalizing Flows.
☆63Updated 6 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☆115Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆25Updated 5 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Updated 5 years ago
- GraphCON (ICML 2022)☆60Updated 3 years ago
- ☆31Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆59Updated 4 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- SignNet and BasisNet☆102Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- ☆37Updated 5 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 6 years ago
- code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".☆130Updated 2 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domain…☆107Updated 4 years ago
- Code for Optimal Transport for structured data with application on graphs☆104Updated 3 years ago
- ☆25Updated 4 years ago
- ☆42Updated 3 years ago
- Neural Graph Differential Equations (Neural GDEs)☆212Updated 4 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Updated 4 years ago
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆43Updated 2 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆41Updated 2 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 3 years ago
- ☆62Updated 5 years ago
- Mixed-curvature Variational Autoencoders (ICLR 2020)☆66Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆36Updated 4 years ago
- SetToGraph paper repository☆22Updated 5 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago