Abstract: Graph Convolutional Networks (GCN) and their variants utilize learnable weight matrices and nonlinear activation functions to extract features from data. The selection of activation ...
$ pip install -U pip pytest codecov coverage pytest-cov $ pytest -v --cov-config=.coveragerc --cov-report term --cov=gklearn gklearn/tests/ ...
Abstract: Graph Neural Networks (GNNs) have attracted significant research interest in various graph data modeling tasks. To advance trustworthy, reliable, and safe Artificial Intelligence (AI) ...
GPU training is automatic if CUDA is available. CPU and Apple MPS are also supported.
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