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Code Issues Pull requests Molecular graph representation rdkit orca bismuth graph-representation ase mof mofs graph-representation-learning orca-quantum-chemistry pytorch-geometric nbo ...

Graph representation learning aims at mapping a graph into a lower-dimensional feature space. Deep attributed graph representation, utilizing deep learning models on the graph structure and attributes ...

Control flow graphs are the graphs that show the flow of execution of the code, and each node in the graph offers a primary line of code. In addition to controlling flow graphs, the python_graphs ...

Graph representations of source code — abstract syntax tree (AST), control-flow graph (CFG), data-flow graphs, etc. — are now commonly employed by machine learning researchers for code research. In ...

A graph structure is a powerful mathematical abstraction, which can not only represent information about individuals but also capture the interactions between individuals for reasoning. Geometric ...

AUSTIN, TX – Katana Graph, an AI-powered graph intelligence company, has announced the release of a high-performance graph analytics Python library in collaboration with Intel. Katana Graph has ...

graph semi-supervised-learning gnns graph-representation-learning gnn graph-neural-network graph-contrastive-learning node-classificaiton Updated on Aug 15, 2023 Python ...