24 citations · 29 across the 7 of their papers we have counts for
7 papers
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
Jinze Sun, Yongpan Sheng, Lirong He +3
Temporal knowledge graph reasoning (TKGR) is increasingly gaining attention for its ability to extrapolate new events from historical data, thereby enriching the inherently incompl…
Dynamic Link Prediction Using Graph Representation Learning with Enhanced Structure and Temporal Information
Chaokai Wu, Yansong Wang, Tao Jia
The links in many real networks are evolving with time. The task of dynamic link prediction is to use past connection histories to infer links of the network at a future time. How…
Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank
Longlong Lin, Pingpeng Yuan, Rong-Hua Li +4
Existing temporal community search suffers from two defects: (i) they ignore the temporal proximity between the query vertex and other vertices but simply require the result to…
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…