5 papers
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
Haoran Zheng, Renchi Yang, Hongtao Wang +1
Multimodal Attributed Graphs (MMAGs) are an expressive data model for representing the complex interconnections among entities that associate attributes from multiple data modaliti…
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
Haoran Zheng, Renchi Yang, Yubo Zhou +1
Message passing neural networks (MPNNs) have emerged as go-to models for learning on graph-structured data in the past decade. Despite their effectiveness, most of such models stil…
Cequel: Cost-Effective Querying of Large Language Models for Text Clustering
Hongtao Wang, Taiyan Zhang, Renchi Yang +1
Text clustering aims to automatically partition a collection of documents into coherent groups based on their linguistic features. In the literature, this task is formulated either…
SAFT: Structure-aware Transformers for Textual Interaction Classification
Hongtao Wang, Renchi Yang, Hewen Wang +2
Textual interaction networks (TINs) are an omnipresent data structure used to model the interplay between users and items on e-commerce websites, social networks, etc., where each…
Adaptive Local Clustering over Attributed Graphs
Haoran Zheng, Renchi Yang, Jianliang Xu
Given a graph and a seed node , the objective of local graph clustering (LGC) is to identify a subgraph (a.k.a. local cluster) surrounding in time roughl…