24 citations · 29 across the 7 of their papers we have counts for
4 papers · 1 filter
Scalable and Effective Conductance-based Graph Clustering
Longlong Lin, Rong-Hua Li, Tao Jia
Conductance-based graph clustering has been recognized as a fundamental operator in numerous graph analysis applications. Despite the significant success of conductance-based graph…
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
Jiayun Wu, Tao Jia, Yansong Wang +1
Temporal networks are suitable for modeling complex evolving systems. It has a wide range of applications, such as social network analysis, recommender systems, and epidemiology. R…
The maximum capability of a topological feature in link prediction
Yijun Ran, Xiao-Ke Xu, Tao Jia
Networks offer a powerful approach to modeling complex systems by representing the underlying set of pairwise interactions. Link prediction is the task that predicts links of a net…
Temporal Network Epistemology: on Reaching Consensus in Real World Setting
Radosław Michalski, Damian Serwata, Mateusz Nurek +3
This work develops the concept of temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on…