twitter-research / tgn
TGN: Temporal Graph Networks
☆1,004Updated 7 months ago
Alternatives and similar repositories for tgn:
Users that are interested in tgn are comparing it to the libraries listed below
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆538Updated 3 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆806Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,634Updated 11 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,001Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,155Updated last year
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆633Updated 2 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆603Updated 5 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆661Updated 2 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆368Updated 5 months ago
- Strategies for Pre-training Graph Neural Networks☆981Updated last year
- gnn explainer☆905Updated 4 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆1,964Updated last month
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆390Updated 7 months ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,745Updated last year
- Simple reference implementation of GraphSAGE.☆1,003Updated 4 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆922Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆633Updated last year
- PyGCL: A PyTorch Library for Graph Contrastive Learning☆915Updated 6 months ago
- Representation learning on dynamic graphs using self-attention networks☆285Updated last year
- Papers about explainability of GNNs☆679Updated last month
- Python library assists deep learning on graphs☆555Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆477Updated 2 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆776Updated 2 years ago
- How Powerful are Graph Neural Networks?☆1,200Updated 3 years ago
- ☆305Updated 5 months ago
- Heterogeneous Graph Neural Network☆1,109Updated 4 years ago
- Papers about graph transformers.☆827Updated 9 months ago
- ☆349Updated 4 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆491Updated 5 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆835Updated 3 years ago