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Vibhav Oswal / LDS-GNN
OtherLearning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
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Vibhav Oswal / SLAPS-GNN
Creative Commons Attribution Non Commercial Share Alike 4.0 InternationalPyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
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Diskow Diskow / Diskow
GNU Affero General Public License v3.0Updated -
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Zhang, Zijian / DropEdge
MIT LicenseThis is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
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Vinay Jayarama Setty / network_embeddings_benchmark
GNU General Public License v3.0 onlyThis repository contains code for the TKDE 2020 paper A Comparative Study for Unsupervised Network Representation Learning https://ieeexplore.ieee.org/abstract/document/8890798
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Do experiments on Cora, CiteSeer,Pubmed,CoraFull, Coauthor CS, Coauthor Physics,Amazon Computers and Amazon Photo. I use almost same setting with paper and run each algorithm(GCN,SGC,GAT) on each dataset 10 times. Then I compute mean and std vaules.
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Python helper classes to read and browse concepts and terms from TheSoz (thesaurus for the social sciences)
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Sergej Wildemann / altair-catplot
MIT LicenseUpdated -
Megha Khosla / NERD
MIT LicenseUpdated -
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