all AI news
[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
More from www.reddit.com / Machine Learning
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Business Intelligence Architect - Specialist
@ Eastman | Hyderabad, IN, 500 008