91 citations · 155 across the 14 of their papers we have counts for
5 papers · 1 filter
Pure Node Selection for Imbalanced Graph Node Classification
Fanlong Zeng, Wensheng Gan, Jiayang Wu +1
The problem of class imbalance refers to an uneven distribution of quantity among classes in a dataset, where some classes are significantly underrepresented compared to others. Cl…
Graph Diffusion Network for Drug-Gene Prediction
Jiayang Wu, Wensheng Gan, Philip S. Yu
Predicting drug-gene associations is crucial for drug development and disease treatment. While graph neural networks (GNN) have shown effectiveness in this task, they face challeng…
Towards More Accurate Full-Atom Antibody Co-Design
Jiayang Wu, Xingyi Zhang, Xiangyu Dong +5
Antibody co-design represents a critical frontier in drug development, where accurate prediction of both 1D sequence and 3D structure of complementarity-determining regions (CDRs)…
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training
Jiayang Wu, Wensheng Gan, Jiahao Zhang +1
In the current development of large language models (LLMs), it is important to ensure the accuracy and reliability of the underlying data sources. LLMs are critical for various app…
Graph Contrastive Learning on Multi-label Classification for Recommendations
Jiayang Wu, Wensheng Gan, Huashen Lu +1
In business analysis, providing effective recommendations is essential for enhancing company profits. The utilization of graph-based structures, such as bipartite graphs, has gaine…