4 papers
Interpretable Unsupervised Community Detection with LLM-Symbolized Structured Processes
Aoting Zeng, Kai Wang, Jianwei Wang +3
Community detection is a fundamental task in graph analytics that aims to identify cohesive groups of entities with similar behaviors or interests. Classic objective-driven methods…
Empowering Tabular Data Preparation with Language Models: Why and How?
Mengshi Chen, Yuxiang Sun, Tengchao Li +5
Data preparation is a critical step in enhancing the usability of tabular data and thus boosts downstream data-driven tasks. Traditional methods often face challenges in capturing…
Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
Yizhang He, Kai Wang, Wenjie Zhang +2
Bipartite graphs, formed by two vertex layers, arise as a natural fit for modeling the relationships between two groups of entities. In bipartite graphs, common neighborhood comput…
Influence Minimization via Blocking Strategies
Jiadong Xie, Fan Zhang, Kai Wang +3
We study the influence minimization problem: given a graph and a seed set , blocking at most nodes or edges such that the influence spread of the seed set is minimiz…