chuiyangmeng96

chuiyangmeng96

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Shift-Robust-GNNs

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

Language:PythonStargazers:47Issues:0Issues:0

GRAND

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Language:PythonLicense:MITStargazers:202Issues:0Issues:0

FedGraphNN

FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.

Stargazers:178Issues:0Issues:0

Awesome-Federated-Learning-on-Graph-and-GNN-papers

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Stargazers:310Issues:0Issues:0

alphafold

Open source code for AlphaFold.

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ASTGCN-2019-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

Language:PythonStargazers:543Issues:0Issues:0

GMAN

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

Language:PythonLicense:Apache-2.0Stargazers:399Issues:0Issues:0

gat-pytorch

pytorch implementation of Graph Attention Networks

Language:PythonLicense:MITStargazers:16Issues:0Issues:0

interviews

Everything you need to know to get the job.

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