activity
20212026
most citedAuthor Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives

3 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DL2026

Not Just Large: Tall Teams Dominate East Asia's Scientific Production

Siyuan Liu, Wenjin Xie, Wenyu Chen +1

Purpose: This study compares the hierarchical structure of scientific teams across countries and investigates factors associated with the observed cross-national differences. Desig…

cs.IR2025

MIARec: Mutual-influence-aware Heterogeneous Network Embedding for Scientific Paper Recommendation

Wenjin Xie, Tao Jia

With the rapid expansion of scientific literature, scholars increasingly demand precise and high-quality paper recommendations. Among various recommendation methodologies, graph-ba…

cs.AI2025★ 1 cited

Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks

Shuyang Guo, Wenjin Xie, Ping Lu +5

Homomorphism is a key mapping technique between graphs that preserves their structure. Given a graph and a pattern, the subgraph homomorphism problem involves finding a mapping fro…

cs.SI2023

Towards a performance characteristic curve for model evaluation: an application in information diffusion prediction

Wenjin Xie, Xiaomeng Wang, Radosław Michalski +1

The information diffusion prediction on social networks aims to predict future recipients of a message, with practical applications in marketing and social media. While different p…

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★ 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…