3 citations · 3 across the 5 of their papers we have counts for
5 papers
Collaborative Prediction: To Join or To Disjoin Datasets
Kyung Rok Kim, Yansong Wang, Xiaocheng Li +1
With the recent rise of generative Artificial Intelligence (AI), the need of selecting high-quality dataset to improve machine learning models has garnered increasing attention. Ho…
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…
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…
CCasGNN: Collaborative Cascade Prediction Based on Graph Neural Networks
Yansong Wang, Xiaomeng Wang, Tao Jia
Cascade prediction aims at modeling information diffusion in the network. Most previous methods concentrate on mining either structural or sequential features from the network and…
CasSeqGCN: Combining Network Structure and Temporal Sequence to Predict Information Cascades
Yansong Wang, Xiaomeng Wang, Radosław Michalski +2
One important task in the study of information cascade is to predict the future recipients of a message given its past spreading trajectory. While the network structure serves as t…