activity
20202023
most citedA generalized linear threshold model for an improved description of the spreading dynamics

21 citations · 57 across the 10 of their papers we have counts for

collaborators

10 papers

cs.LG2023

An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner

Zihao Chen, Xiaomeng Wang, Yuanjiang Huang +1

The interpretability of model has become one of the obstacles to its wide application in the high-stake fields. The usual way to obtain interpretability is to build a black-box fir…

cs.LG2022★ 3 cited

Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives

Wenjin Xie, Siyuan Liu, Xiaomeng Wang +1

Name ambiguity is common in academic digital libraries, such as multiple authors having the same name. This creates challenges for academic data management and analysis, thus name…

cs.LG2021

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…

cs.SI2021

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…

cs.LG2021★ 3 cited

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…

physics.soc-ph2021★ 6 cited

The network asymmetry caused by the degree correlation and its effect on the bimodality in control

Xiaoyao Yu, Yongqing Liang, Xiaomeng Wang +1

Our ability to control a whole network can be achieved via a small set of driver nodes. While the minimum number of driver nodes needed for control is fixed in a given network, the…