contrastive alignment 1heterogeneous knowledge graphs 1hypergraph learning 1meta-path modeling 1node importance estimation 1
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cs.AI2026
DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge Graphs
Jiawen Chen, Yanyan He, Qi Shao +4
The paper introduces DualHNIE, a dual‑channel hypergraph framework that constructs meta‑path based hyperedges and employs separate structure‑aware and semantic‑aware encoders with…
cs.AI2026
Spatio-Temporal Graphical Counterfactuals: An Overview
Mingyu Kang, Duxin Chen, Ziyuan Pu +2
Counterfactual thinking is a crucial yet challenging topic for artificial intelligence to learn knowledge from data and ultimately improve performance for new scenarios. Many resea…
cs.AI2025
Identifying Unique Spatial-Temporal Bayesian Network without Markov Equivalence
Mingyu Kang, Duxin Chen, Ning Meng +2
Identifying vanilla Bayesian network to model spatial-temporal causality can be a critical yet challenging task. Different Markovian-equivalent directed acyclic graphs would be ide…