38 citations · 51 across the 7 of their papers we have counts for
8 papers
Bridging Sequence and Graph Structure for Epigenetic Age Prediction
Yao Li, Xikun Zhang, Xiaotao Shen +4
Epigenetic clocks based on DNA methylation have emerged as powerful tools for estimating biological age, with broad applications in aging research, age-related disease studies, and…
Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
Zhifei Hu, Feng Xia
In recent years, the use of edge information provided by knowledge graphs together with the advantages of higher-order connectivity in graph neural networks for recommendation syst…
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…
Graph Transformers: A Survey
Ahsan Shehzad, Feng Xia, Shagufta Abid +4
Graph transformers are a recent advancement in machine learning, offering a new class of neural network models for graph-structured data. The synergy between transformers and graph…
Learning on Multimodal Graphs: A Survey
Ciyuan Peng, Jiayuan He, Feng Xia
Multimodal data pervades various domains, including healthcare, social media, and transportation, where multimodal graphs play a pivotal role. Machine learning on multimodal graphs…