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Multi-label Node Classification On Graph-Structured Data
March 1, 2024, 5:44 a.m. | Tianqi Zhao, Ngan Thi Dong, Alan Hanjalic, Megha Khosla
cs.LG updates on arXiv.org arxiv.org
Abstract: Graph Neural Networks (GNNs) have shown state-of-the-art improvements in node classification tasks on graphs. While these improvements have been largely demonstrated in a multi-class classification scenario, a more general and realistic scenario in which each node could have multiple labels has so far received little attention. The first challenge in conducting focused studies on multi-label node classification is the limited number of publicly available multi-label graph datasets. Therefore, as our first contribution, we collect and …
arxiv classification cs.lg data graph node structured data type
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