38 citations · 51 across the 7 of their papers we have counts for
4 papers · 1 filter
Brain PathoGraph Learning
Ciyuan Peng, Nguyen Linh Dan Le, Shan Jin +3
Brain graph learning has demonstrated significant achievements in the fields of neuroscience and artificial intelligence. However, existing methods struggle to selectively learn di…
Graph Learning
Feng Xia, Ciyuan Peng, Jing Ren +5
Graph learning has rapidly evolved into a critical subfield of machine learning and artificial intelligence (AI). Its development began with early graph-theoretic methods, gaining…
BrainMAP: Multimodal Graph Learning For Efficient Brain Disease Localization
Nguyen Linh Dan Le, Jing Ren, Ciyuan Peng +3
Recent years have seen a surge in research focused on leveraging graph learning techniques to detect neurodegenerative diseases. However, existing graph-based approaches typically…
Biologically Plausible Brain Graph Transformer
Ciyuan Peng, Yuelong Huang, Qichao Dong +4
State-of-the-art brain graph analysis methods fail to fully encode the small-world architecture of brain graphs (accompanied by the presence of hubs and functional modules), and th…