facebookresearch / forwardgnn
This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
☆17Updated last year
Alternatives and similar repositories for forwardgnn:
Users that are interested in forwardgnn are comparing it to the libraries listed below
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆58Updated 11 months ago
- ☆32Updated 2 years ago
- "Graph Convolutions Enrich the Self-Attention in Transformers!" NeurIPS 2024☆20Updated last month
- [IPDPS 2024] Adaptive neighbor sampling for temporal GNN☆12Updated 2 months ago
- Lifelong Graph Learning (CVPR 2022 Oral)☆78Updated 3 years ago
- [NeurIPS '23] Official code of "A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space"☆13Updated 8 months ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆44Updated 4 months ago
- Expressive Sign Equivariant Networks for Spectral Geometric Learning☆16Updated last year
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆29Updated last year
- Transformer-based Spectral Graph Neural Networks☆80Updated 6 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.☆32Updated 2 years ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆104Updated last year
- Graph Neural Convection-Diffusion with Heterophily☆11Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆34Updated 3 months ago
- Official Repository for NeurIPS 2024 Paper Unifying Generation and Prediction on Graphs with Latent Graph Diffusion☆23Updated 4 months ago
- ☆52Updated 5 months ago
- ☆23Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆86Updated last year
- List of papers on ICML2023.☆55Updated last year
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆55Updated last year
- ☆17Updated last year
- VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024☆13Updated 11 months ago
- Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆28Updated 3 weeks ago
- ☆18Updated last year
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆45Updated 8 months ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆15Updated 2 years ago
- SignNet and BasisNet☆97Updated last year
- The implementation of "Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network".☆15Updated 2 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆159Updated last year