microsoft / tf2-gnn
TensorFlow 2 library implementing Graph Neural Networks
☆369Updated last year
Alternatives and similar repositories for tf2-gnn:
Users that are interested in tf2-gnn are comparing it to the libraries listed below
- TensorFlow implementations of Graph Neural Networks☆918Updated 2 years ago
- A PyTorch Graph Neural Network Library☆374Updated 3 years ago
- Python library assists deep learning on graphs☆555Updated last year
- ☆418Updated 5 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆324Updated 2 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.☆462Updated last year
- Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x☆499Updated last month
- ☆518Updated 6 years ago
- Graph Markov Neural Networks☆404Updated 4 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆502Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆462Updated 6 years ago
- Sample Code for Gated Graph Neural Networks☆1,028Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 8 months ago
- Strategies for Pre-training Graph Neural Networks☆985Updated last year
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆271Updated 2 years ago
- Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, IC…☆358Updated last year
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆476Updated last year
- A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually upd…☆276Updated 6 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆366Updated 2 years ago
- gnn explainer☆924Updated 5 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆836Updated 3 years ago
- A tutorial on Graph Convolutional Neural Networks☆317Updated 4 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆803Updated 5 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆479Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,160Updated last year
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆289Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆792Updated 2 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆286Updated 3 years ago