Mishne-Lab / IGNRLinks
Implementation of Implicit Graphon Neural Representation
☆12Updated 2 years ago
Alternatives and similar repositories for IGNR
Users that are interested in IGNR are comparing it to the libraries listed below
Sorting:
- ☆14Updated 2 years ago
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆29Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Updated 4 years ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 3 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆14Updated last year
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆33Updated 2 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆23Updated 5 years ago
- ☆12Updated last year
- Official code for Fisher information embedding for node and graph learning (ICML 2023)☆19Updated 2 years ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆73Updated 5 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Updated 2 years ago
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆39Updated last year
- Simplicial neural network benchmarking software☆17Updated 3 years ago
- Official Pytorch implementation of NeuralWalker (ICLR 2025)☆38Updated 6 months ago
- ☆20Updated 4 years ago
- Graph Transformers for Large Graphs☆22Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Python implementation of the supervised graph prediction method proposed in http://arxiv.org/abs/2202.03813 using PyTorch library and POT…☆14Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 3 weeks ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- WWW22 - MiDaS: Representative Hypergraph Sampling☆13Updated last year
- Official Code of Decoupled Graph Convolution (DGC)☆16Updated 4 years ago
- ☆12Updated 2 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆71Updated 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
- ☆24Updated 3 years ago
- MetA-Train to Explain☆18Updated 3 years ago