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New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. (arXiv:2211.08972v1 [cs.LG])
Nov. 17, 2022, 2:11 a.m. | Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis
cs.LG updates on arXiv.org arxiv.org
Graph autoencoders (GAE) and variational graph autoencoders (VGAE) emerged as
powerful methods for link prediction (LP). Their performances are less
impressive on community detection (CD), where they are often outperformed by
simpler alternatives such as the Louvain method. It is still unclear to what
extent one can improve CD with GAE and VGAE, especially in the absence of node
features. It is moreover uncertain whether one could do so while simultaneously
preserving good performances on LP in a multi-task setting. …
More from arxiv.org / cs.LG updates on arXiv.org
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