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Search results for graph convolutional networks node classification
graph-convolutional-networks
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node-classification
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6 search results found
Clustergcn
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691
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Seal Ci
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206
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Ctgcn
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72
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
Lifelong Learning
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16
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Resolutions 2019
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16
A list of data mining and machine learning papers that I implemented in 2019.
Pyg Ogb Tricks
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13
Bags of Tricks in OGB (node classification) with GCNs.
Torch Rgcn
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9
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Rgcn Pytorch
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7
Pytorch implementation of Relational GCN for node classification
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1-6 of 6 search results
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