gravins / Anti-SymmetricDGN
Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks"; and "Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks"
☆12Updated 4 months ago
Alternatives and similar repositories for Anti-SymmetricDGN:
Users that are interested in Anti-SymmetricDGN are comparing it to the libraries listed below
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆10Updated 5 months ago
- Synthetic graph generator☆12Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated last month
- ☆13Updated 4 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Gradient gating (ICLR 2023)☆53Updated last year
- ☆18Updated last year
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆19Updated 3 weeks ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆29Updated last year
- Official Implementation of Half-Hop☆19Updated last year
- ☆19Updated 2 years ago
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆42Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆87Updated 3 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆46Updated last year
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 10 months ago
- Graph Structured Neural Network☆39Updated 2 years ago
- Learning Graphons via Structured Gromov-Wasserstein Barycenters☆22Updated 4 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated last year
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- Graph Echo State Networks for Pytorch☆21Updated last year
- ☆12Updated last year
- [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning☆14Updated 10 months ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.☆27Updated 2 years ago
- ☆14Updated 3 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Dynamic Graph Benchmark☆79Updated 2 years ago
- ☆13Updated 4 months ago
- ☆27Updated 3 months ago