PhD candidate at INET lab in Harbin Institute of Technology, interested in Deep Bayesian Learning, Non-Parametric Bayesian,
Knowledge Graphs and NLP.
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Harbin Institute of Technology
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docker-torch-cuda-jupyter
docker-torch-cuda-jupyter PublicDockerfile for build image with pytorch, cuda and jupyterlab server, plus docker-compose.yaml for container management
Shell
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SBM-meet-GNN-pytorch
SBM-meet-GNN-pytorch PublicThis is a PyTorch implementation of the paper Stochastic Blockmodels meet Graph Neural Networks (https://proceedings.mlr.press/v97/mehta19a.html).
Python
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