activity
20202024
most citedCenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs

38 citations · 46 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems

Zhen Cai, Tao Tang, Shuo Yu +2

Federated recommender systems have been crucially enhanced through data sharing and continuous model updates, attributed to the pervasive connectivity and distributed computing cap…

cs.LG2024★ 7 cited

Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach

Xin Chen, Mingliang Hou, Tao Tang +2

With the arrival of the big data era, mobility profiling has become a viable method of utilizing enormous amounts of mobility data to create an intelligent transportation system. M…

cs.SI2022★ 1 cited

Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions

Shuo Yu, Feng Xia, Yuchen Sun +3

In the age of social computing, finding interesting network patterns or motifs is significant and critical for various areas such as decision intelligence, intrusion detection, med…

cs.SI2022

Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks

Xiangtai Chen, Tao Tang, Jing Ren +3

With the explosive growth of new graduates with research degrees every year, unprecedented challenges arise for early-career researchers to find a job at a suitable institution. Th…

cs.LG2022★ 38 cited

CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs

Feng Xia, Lei Wang, Tao Tang +4

Graph Convolutional Networks (GCNs) have achieved impressive performance in a wide variety of areas, attracting considerable attention. The core step of GCNs is the information-pas…

cs.DL2020

Understanding the Advisor-advisee Relationship via Scholarly Data Analysis

Jiaying Liu, Tao Tang, Xiangjie Kong +3

Advisor-advisee relationship is important in academic networks due to its universality and necessity. Despite the increasing desire to analyze the career of newcomers, however, the…