rish-16 / grafog
Graph Data Augmentation Library for PyTorch Geometric
☆128Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for grafog
- ☆149Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆127Updated last year
- Official Pytorch Implementation of GraphiT☆106Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆85Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆117Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆153Updated 11 months ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 2 years ago
- ☆172Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆93Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆172Updated 5 months ago
- ☆79Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆115Updated 3 years ago
- Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2☆198Updated last year
- ☆92Updated last year
- Code for our paper "Attending to Graph Transformers"☆80Updated last year
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆245Updated 2 years ago
- Graph Positional and Structural Encoder☆41Updated last month
- SignNet and BasisNet☆95Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆159Updated 2 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆187Updated last week
- Explanation method for Graph Neural Networks (GNNs)☆60Updated 2 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 2 years ago
- Implicit Graph Neural Networks☆59Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆149Updated 6 months ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆155Updated last year
- NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectu…☆133Updated 2 years ago
- here you can find the material used for our Tutorials☆97Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆94Updated 4 years ago
- Exphormer: Sparse Transformer for Graphs☆161Updated 8 months ago
- A curated list of graph data augmentation papers.☆300Updated 7 months ago