108 citations · 140 across the 10 of their papers we have counts for
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cs.LG2023
Transforming Graphs for Enhanced Attribute Clustering: An Innovative Graph Transformer-Based Method
Shuo Han, Jiacheng Liu, Jiayun Wu +2
Graph Representation Learning (GRL) is an influential methodology, enabling a more profound understanding of graph-structured data and aiding graph clustering, a critical task acro…
cs.LG2020
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels
Yinghui Li, Ruiyang Liu, ZiHao Zhang +4
Deep neural models have hitherto achieved significant performances on numerous classification tasks, but meanwhile require sufficient manually annotated data. Since it is extremely…