activity
20212026
most citedEDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

128 citations · 405 across the 50 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.LG2025

Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks

Song Wang, Zhenyu Lei, Zhen Tan +4

Nearly one in five adolescents currently live with a diagnosed mental or behavioral health condition, such as anxiety, depression, or conduct disorder, underscoring the urgency of…

cs.LG2025

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations

Zhen Tan, Song Wang, Yifan Li +4

Post-hoc explanation methods provide interpretation by attributing predictions to input features. Natural explanations are expected to interpret how the inputs lead to the predicti…

cs.LG2025

Reasoning of Large Language Models over Knowledge Graphs with Super-Relations

Song Wang, Junhong Lin, Xiaojie Guo +3

While large language models (LLMs) have made significant progress in processing and reasoning over knowledge graphs, current methods suffer from a high non-retrieval rate. This lim…

cs.AI2025

BrainMAP: Learning Multiple Activation Pathways in Brain Networks

Song Wang, Zhenyu Lei, Zhen Tan +8

Functional Magnetic Resonance Image (fMRI) is commonly employed to study human brain activity, since it offers insight into the relationship between functional fluctuations and hum…

cs.LG2025

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization

Song Wang, Xiaodong Yang, Rashidul Islam +4

To deal with distribution shifts in graph data, various graph out-of-distribution (OOD) generalization techniques have been recently proposed. These methods often employ a two-step…

cs.AI2025

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models

Zaiyi Zheng, Yushun Dong, Song Wang +3

Large Language Models (LLMs) have shown impressive performance in various tasks, including knowledge graph completion (KGC). However, current studies mostly apply LLMs to classific…

cs.CL2025

Harnessing Large Language Models for Disaster Management: A Survey

Zhenyu Lei, Yushun Dong, Weiyu Li +3

Large language models (LLMs) have revolutionized scientific research with their exceptional capabilities and transformed various fields. Among their practical applications, LLMs ha…