Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Su, Guangxin"'
Graph representation learning, involving both node features and graph structures, is crucial for real-world applications but often encounters pervasive noise. State-of-the-art methods typically address noise by focusing separately on node features wi
Externí odkaz:
http://arxiv.org/abs/2410.12096
Publikováno v:
In Knowledge-Based Systems 7 June 2024 293
