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The Top 23 Python Graph Neural Networks Network Embedding Open Source Projects

Open source projects categorized as Python Graph Neural Networks Network Embedding
Categories > Graph Neural Networks
Categories > Network Embedding
Pytorch_geometric_temporal ⭐ 2,386
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
dependent packages 4total releases 46most recent commit 3 months agopypi torch-geometric-temporal} Downloads
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
Appnp ⭐ 322
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
most recent commit a year ago
Han ⭐ 307
Heterogeneous Graph Neural Network
most recent commit 4 years ago
Sgcn ⭐ 253
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 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 a year ago
Seal Ci ⭐ 201
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
most recent commit a year 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
Musae ⭐ 122
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
most recent commit 2 years ago
Sgl ⭐ 106
A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)
total releases 4most recent commit a year 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
Tene ⭐ 71
A sparsity aware implementation of "Enhanced Network Embedding with Text Information" (ICPR 2018).
most recent commit 2 years ago
Ladies ⭐ 70
Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
most recent commit a year ago
Magnn ⭐ 66
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
most recent commit 4 years ago
Mixgcf ⭐ 65
MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems, KDD2021
most recent commit 2 years ago
Pytorch_han ⭐ 55
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
most recent commit a year 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
Shift Robust Gnns ⭐ 24
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
most recent commit 2 years ago
Disenkgat ⭐ 23
This is a PyTorch implementation for the CIKM-2021 paper (DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network).
most recent commit 2 years ago
Caps2ne ⭐ 15
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
most recent commit 3 years ago
Sdg ⭐ 13
SDG: A Simplified and Dynamic Graph Neural Network, SIGIR' 2021
most recent commit 2 years ago
Extended Simgnn ⭐ 11
A PyTorch Geometric implementation of SimGNN with some extensions.
most recent commit 3 years ago
The 3 Latest Releases In Python Graph Neural Networks Network Embedding Open Source Projects
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