google-research / graphworldLinks
☆177Updated 2 years ago
Alternatives and similar repositories for graphworld
Users that are interested in graphworld are comparing it to the libraries listed below
Sorting:
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- Temporal Graph Benchmark project repo☆239Updated last month
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- ☆155Updated 4 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆342Updated 2 years ago
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆97Updated 3 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆265Updated 3 years ago
- ☆121Updated 2 years ago
- Implicit Graph Neural Networks☆64Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Exphormer: Sparse Transformer for Graphs☆188Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 9 months ago
- ☆97Updated 2 years ago
- Low-Level Graph Neural Network Operators for PyG☆217Updated last week
- ☆85Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- Dynamic Graph Benchmark☆85Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- here you can find the material used for our Tutorials☆101Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆355Updated 5 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- ☆42Updated 3 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago