This paper formalizes the inference from a head entity to the target tail entity as an Ordinary Differential Equation governed by a relation-conditioned neural velocity field, which learns to steer a smooth and expressive semantic transformation along the reasoning trajectory.
Xin Song, Haiyan Liu, Ye Wang et al.· Proceedings of the 32nd ACM...· 0 citations
Knowledge graph completion (KGC) aims to infer missing facts based on existing triplets. Traditional path-based methods formulate reasoning as a discrete multi-hop traversal, which suffers from exponential search space and error accumulation.In this paper, we propose FlowPath, which rethinks the reasoning process by tr...
Xin Song, Haiyan Liu, Ye Wang et al.· Proceedings of the 32nd ACM...· 0 citations
LAB-Tab is proposed, an LLM-augmented Bayesian network (BN) adaptation framework for source-aware few-shot tabular generation that achieves the best performance at the 10% target-data budget, leads four of the six individual scenarios, and reduces the macro Overall score by 33.8% relative to the strongest baseline.
Zijian Shen, Taijie Chen, Bin Zhou et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
