Implementation of Directional Graph Networks in PyTorch and DGL
☆118Apr 4, 2021Updated 4 years ago
Alternatives and similar repositories for DGN
Users that are interested in DGN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 9 months ago
- Heterogeneous Molecular Graph Neural Network☆28Sep 29, 2020Updated 5 years ago
- ☆155Aug 23, 2021Updated 4 years ago
- ☆32Sep 22, 2021Updated 4 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆165Jun 13, 2023Updated 2 years ago
- ☆31Apr 14, 2023Updated 2 years ago
- ☆12Apr 16, 2020Updated 5 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆85Jun 7, 2023Updated 2 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- ☆16Mar 2, 2022Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆94Nov 3, 2020Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Apr 25, 2022Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 2 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Mar 28, 2022Updated 3 years ago
- ☆11Jun 21, 2022Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 5 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆84Oct 7, 2022Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Jan 27, 2022Updated 4 years ago
- ☆171Feb 28, 2022Updated 4 years ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆77Apr 4, 2022Updated 3 years ago
- Repository of the paper "On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks" published in ACM CIKM …☆18Aug 8, 2023Updated 2 years ago
- Official implementation of our FLAG paper (CVPR2022)☆144Apr 2, 2022Updated 3 years ago
- Deep Generative Models: Diffusion Models for Molecule Generation☆10Jun 17, 2024Updated last year
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,651Jun 22, 2023Updated 2 years ago
- Equivariant Mesh Attention Networks☆20Aug 30, 2022Updated 3 years ago
- [ICML 2021] GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training (official implementation)☆106Dec 19, 2022Updated 3 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆44Jun 15, 2023Updated 2 years ago
- Molecular Crystal Simulation Library (mcse) is an open-source Python package for manipulating and analyzing molecular crystal structures☆15May 30, 2022Updated 3 years ago
- Source code and dataset for KDD 2021 paper: Zero-shot Node Classification with Decomposed Graph Prototype Network.☆12Jun 18, 2021Updated 4 years ago
- Transformers are Graph Neural Networks!☆54Dec 27, 2020Updated 5 years ago
- SignNet and BasisNet☆102Jul 25, 2023Updated 2 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆536Feb 4, 2023Updated 3 years ago
- Official implementation for the paper: Permutation Invariant Graph Generation via Score-Based Generative Modeling☆115Jul 6, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,076May 6, 2025Updated 10 months ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆400Jun 17, 2024Updated last year
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Oct 11, 2022Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆109Jun 18, 2025Updated 9 months ago