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The Top 23 Python Graph Representation Learning Open Source Projects

Open source projects categorized as Python Graph Representation Learning
Categories > Graph Representation Learning
Ampligraph ⭐ 1,963
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
total releases 14most recent commit 9 months ago
Pretrain Gnns ⭐ 805
Strategies for Pre-training Graph Neural Networks
most recent commit 9 months ago
Compgcn ⭐ 519
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
most recent commit a year ago
Graphgps ⭐ 508
Recipe for a General, Powerful, Scalable Graph Transformer
most recent commit 4 months ago
Efficient Gnns ⭐ 490
Code and resources on scalable and efficient Graph Neural Networks
most recent commit a year ago
Graph Transformer ⭐ 408
Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)
most recent commit 2 years ago
Mixhop And N Gcn ⭐ 389
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
most recent commit a year ago
Graphgan ⭐ 381
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
most recent commit 4 years ago
Attentionwalk ⭐ 299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
most recent commit a year ago
Splitter ⭐ 203
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
most recent commit 10 months ago
Seal Ci ⭐ 201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
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
Sat ⭐ 107
Official Pytorch code for Structure-Aware Transformer.
most recent commit a year ago
Evalne ⭐ 91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
total releases 6most recent commit a year ago
Ciga ⭐ 77
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
most recent commit 8 months ago
Ctgcn ⭐ 72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
most recent commit a year ago
Grail ⭐ 70
Inductive relation prediction by subgraph reasoning, ICML'20
most recent commit 3 years ago
Alchemy ⭐ 69
most recent commit 5 years ago
3dinfomax ⭐ 64
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
most recent commit 2 years ago
Gmt ⭐ 36
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
most recent commit 2 years ago
Acm Gnn ⭐ 36
NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework
most recent commit 7 months ago
Embiggen ⭐ 35
🍇 Embiggen is the Python Graph Representation learning, Prediction and Evaluation submodule of the GRAPE library.
total releases 112most recent commit 4 months ago
Ge Fsg ⭐ 35
Graph Embedding via Frequent Subgraphs
most recent commit 4 years ago
The 3 Latest Releases In Python Graph Representation Learning Open Source Projects
Ampligraph ⭐ 1,963
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
total releases 14latest release July 12, 2023most recent commit 9 months ago
Evalne ⭐ 91
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
total releases 6latest release July 04, 2022most recent commit a year ago
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