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cs.AI2026
ProPRL: Property-Aware Prerequisite Relation Learning in Educational Knowledge Graphs
Xinghe Cheng, Jiapu Wang, Chaobo He +2
Prerequisite relation learning is central to adaptive instruction, yet existing methods often formulate it as conventional link prediction, limiting their ability to adaptively int…
cs.CL2026
Relational Probing: LM-to-Graph Adaptation for Financial Prediction
Yingjie Niu, Changhong Jin, Rian Dolphin +1
Language models can be used to identify relationships between financial entities in text. However, while structured output mechanisms exist, prompting-based pipelines still incur a…
cs.LG2026
GAPNet: Plug-in Jointly Learning Task-Specific Graph for Dynamic Stock Relation
Yingjie Niu, Lanxin Lu, Changhong Jin +1
The advent of the web has led to a paradigm shift in the financial relations, with the real-time dissemination of news, social discourse, and financial filings contributing signifi…