gravins / Anti-SymmetricDGNLinks
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"
☆13Updated 5 months ago
Alternatives and similar repositories for Anti-SymmetricDGN
Users that are interested in Anti-SymmetricDGN are comparing it to the libraries listed below
Sorting:
- A pytorch-based implementation of Dirichlet Process Mixture Model (DPMM)☆11Updated 7 months ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆19Updated 2 months ago
- Synthetic graph generator☆12Updated last year
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆48Updated last year
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Updated 3 months ago
- Graph Echo State Networks for Pytorch☆23Updated last year
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆13Updated 3 months ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆29Updated 2 months ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆21Updated 2 months ago
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆16Updated 11 months ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆37Updated last year
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆30Updated last year
- Code for Neural Relational Inference with Efficient Message Passing Mechanisms (AAAI 2021).☆17Updated 4 years ago
- ☆12Updated last year
- Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)☆43Updated 2 years ago
- ☆18Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 10 months ago
- ☆20Updated last year
- New structural distributional shifts for evaluating graph models☆15Updated last year
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- ☆13Updated 4 years ago
- ☆13Updated 6 months ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆15Updated 3 years ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆15Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34Updated 2 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 2 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆49Updated 3 months ago
- Official Implementation of Half-Hop☆19Updated last year
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Updated 2 years ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago