urchade / graph-neural-netsLinks
Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)
☆26Updated 4 years ago
Alternatives and similar repositories for graph-neural-nets
Users that are interested in graph-neural-nets are comparing it to the libraries listed below
Sorting:
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 4 years ago
- Official Pytorch Implementation of GraphiT☆110Updated 4 years ago
- ☆31Updated 2 years ago
- Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)☆51Updated 4 years ago
- Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.☆55Updated 4 years ago
- Code for paper Fully Hyperbolic Neural Networks☆87Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- ☆27Updated 3 years ago
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆343Updated 2 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- MetA-Train to Explain☆18Updated 3 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆133Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last month
- Papers and Codes for the deep learning in hyperbolic space☆187Updated 3 years ago
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆39Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Official PyTorch implementation of Hyperbolic Neural Networks++☆81Updated 4 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- ☆155Updated 4 years ago
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35Updated 5 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- ☆29Updated 3 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆39Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Updated last year
- MagNet graph convolutional network☆41Updated 2 years ago
- here you can find the material used for our Tutorials☆102Updated 4 years ago