22 citations · 25 across the 5 of their papers we have counts for
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cs.LG2025
Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
Qin Chen, Guojie Song
Heterogeneous graphs (HGs) are common in real-world scenarios and often exhibit heterophily. However, most existing studies focus on either heterogeneity or heterophily in isolatio…
cs.CL2025
Large Language Models for Predictive Analysis: How Far Are They?
Qin Chen, Yuanyi Ren, Xiaojun Ma +1
Predictive analysis is a cornerstone of modern decision-making, with applications in various domains. Large Language Models (LLMs) have emerged as powerful tools in enabling nuance…
cs.LG2025★ 3 cited
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
Qin Chen, Liang Wang, Bo Zheng +1
The pre-train then fine-tune approach has advanced GNNs by enabling general knowledge capture without task-specific labels. However, an objective gap between pre-training and downs…