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The Top 18 Graph Neural Networks Representation Learning Open Source Projects

Open source projects categorized as Graph Neural Networks Representation Learning
Categories > Graph Neural Networks
Categories > Machine Learning > Representation Learning
Awesome Graph Self Supervised Learning ⭐ 1,194
Awesome Graph Self-Supervised Learning
most recent commit 4 months ago
Awesome Deep Graph Clustering ⭐ 626
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
total releases 5most recent commit 3 months ago
Decagon ⭐ 431
Graph convolutional neural network for multirelational link prediction
most recent commit a year ago
Awesome Hyperbolic Learning ⭐ 186
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
most recent commit 3 months ago
Representation Learning On Heterogeneous Graph ⭐ 178
Representation-Learning-on-Heterogeneous-Graph
most recent commit 4 years ago
Role2vec ⭐ 157
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
most recent commit a year ago
Dcrn ⭐ 126
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
most recent commit a year ago
Gib ⭐ 116
Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
most recent commit a year ago
Gnn Lspe ⭐ 114
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
most recent commit 2 years ago
St Ssl ⭐ 107
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
most recent commit 3 months ago
Graphml Tutorials ⭐ 63
Tutorials for Machine Learning on Graphs
most recent commit 3 years ago
Raindrop ⭐ 58
Graph Neural Networks for Irregular Time Series
most recent commit 2 years ago
Topoembedx ⭐ 46
Representation Learning on Topological Domains
most recent commit 5 months ago
Hsan ⭐ 35
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
most recent commit a year ago
Vgrnn ⭐ 24
Variational Graph Recurrent Neural Networks - PyTorch
most recent commit 4 years ago
Bgrl_pytorch ⭐ 23
Pytorch implementation of "Bootstrapped Representation Learning on Graphs"
most recent commit 2 years ago
Graph_ml ⭐ 10
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
most recent commit 10 months ago
Gnn_latest_papers ⭐ 6
The latest research papers on graph representation learning[图神经网络最新论文汇总，持续更新中，欢迎关注]
most recent commit 4 months ago
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