activity
20232026
most citedA Unified and Scalable Algorithm Framework of User-Defined Temporal -Core Query

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2026

Querying Cohesive Subgraph regarding Span-Constrained Triangles on Temporal Graphs with Dynamic Index Maintenance

Chuhan Hu, Ming Zhong, Lei Li

Recent advances in temporal graph research have redefined traditional static graph concepts such as triangles, motifs, and -cores. Inspired by this, we introduce a novel …

cs.IR2024

A Survey on Sequential Recommendation

Liwei Pan, Weike Pan, Meiyan Wei +2

Different from most conventional recommendation problems, sequential recommendation focuses on learning users' preferences by exploiting the internal order and dependency among the…

cs.DB2023★ 1 cited

A Unified and Scalable Algorithm Framework of User-Defined Temporal -Core Query

Ming Zhong, Junyong Yang, Yuanyuan Zhu +3

Querying cohesive subgraphs on temporal graphs (e.g., social network, finance network, etc.) with various conditions has attracted intensive research interests recently. In this pa…

cs.IR2023

GNN4FR: A Lossless GNN-based Federated Recommendation Framework

Guowei Wu, Weike Pan, Zhong Ming

Graph neural networks (GNNs) have gained wide popularity in recommender systems due to their capability to capture higher-order structure information among the nodes of users and i…

cs.CL2023★ 1 cited

Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing

Ting Zhang, Zhuang Chen, Ming Zhong +1

Emotion recognition in conversation, which aims to predict the emotion for all utterances, has attracted considerable research attention in recent years. It is a challenging task s…

cs.DB2023★ 1 cited

Scalable Time-Range k-Core Query on Temporal Graphs(Full Version)

Junyong Yang, Ming Zhong, Yuanyuan Zhu +3

Querying cohesive subgraphs on temporal graphs with various time constraints has attracted intensive research interests recently. In this paper, we study a novel Temporal k-Core Qu…