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cs.LG2026
A Closer Look at the Application of Causal Inference in Graph Representation Learning
Hang Gao, Kunyu Li, Huang Hong +2
Modeling causal relationships in graph representation learning remains a fundamental challenge. Existing approaches often draw on theories and methods from causal inference to iden…
cs.AI2026
From Business Events to Auditable Decisions: Ontology-Governed Graph Simulation for Enterprise AI
Hongyin Zhu, Jinming Liang, Mengjun Hou +5
Existing LLM-based agent systems share a common architectural failure: they answer from the unrestricted knowledge space without first simulating how active business scenarios resh…