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[R] A simple but strong baseline for graph classification: Local Topological Profile
Aug. 20, 2023, 6:01 a.m. | /u/qalis
Machine Learning www.reddit.com
Graph classification is important in social networks analysis, de novo drug design, bioinformatics, materials science etc. A popular tool nowadays are Graph Neural Networks (GNNs), but they are data-hungry and hard to train for graph classification (compared to node classification). They also have problems with using subgraph information, …
analysis bioinformatics classification data design drug design etc gnns graph graph neural networks information machinelearning materials materials science networks neural networks node paper popular science social social networks tool
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