Mishne-Lab / IGNR
Implementation of Implicit Graphon Neural Representation
☆12Updated last year
Alternatives and similar repositories for IGNR:
Users that are interested in IGNR are comparing it to the libraries listed below
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆22Updated 4 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆29Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆17Updated 6 months ago
- ☆12Updated last year
- Code accompanying the NeurIPS 2019 paper "GOT: An Optimal Transport framework for Graph comparison"☆40Updated last year
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆34Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆34Updated last year
- PyTorch implementation of "Kernel Neural Optimal Transport" (ICLR 2023)☆24Updated last year
- [NeurIPS 2020]. COPT - Coordinated Optimal Transport on Graphs☆16Updated 4 years ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated 11 months ago
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆54Updated 7 months ago
- Official Code of Decoupled Graph Convolution (DGC)☆17Updated 3 years ago
- Diffusion Models for Graphs Benefit From Discrete State Spaces☆31Updated last year
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆25Updated 2 years ago
- ☆22Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆41Updated 2 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆108Updated last year
- ☆51Updated 2 years ago
- Official Pytorch implementation of NeuralWalker☆27Updated 7 months ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Updated 3 years ago
- Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).☆68Updated last year
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆18Updated 2 years ago
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆27Updated 3 weeks ago
- Entropic Optimal Transport Benchmark (NeurIPS 2023).☆20Updated 10 months ago
- [ICML 2022] pGNN, p-Laplacian Based Graph Neural Networks☆26Updated 2 years ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Updated 11 months ago
- MetA-Train to Explain☆17Updated 2 years ago
- A list of papers for group meeting☆15Updated 3 weeks ago