228 citations · 843 across the 23 of their papers we have counts for
23 papers
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…
A novel similarity measure for mining missing links in long-path networks
Yijun Ran, Tianyu Liu, Tao Jia +1
Network information mining is the study of the network topology, which answers a large number of application-based questions towards the structural evolution and the function of a…
Quantifying the noise in bursty gene expression under regulation by small RNAs
Shigang Qiu, Tao Jia
Gene expression is a fundamental process in a living system. The small RNAs (sRNAs) is widely observed as a global regulator in gene expression. The inherent nonlinearity in this r…
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…
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling
Ling Zhan, Tao Jia
Heterogeneous information network (HIN) embedding aims to find the representations of nodes that preserve the proximity between entities of different nature. A family of approaches…
Independent Asymmetric Embedding for Information Diffusion Prediction on Social Networks
Wenjin Xie, Xiaomeng Wang, Tao Jia
The prediction for information diffusion on social networks has great practical significance in marketing and public opinion control. It aims to predict the individuals who will po…