| Principled approach to the selection of the embedding dimension of networks W Gu, A Tandon, YY Ahn, F Radicchi Nature Communications 12 (1), 3772, 2021 | 62 | 2021 |
| Exploring small-world network with an elite-clique: Bringing embeddedness theory into the dynamic evolution of a venture capital network W Gu, J Liu Social Networks 57, 70-81, 2019 | 56 | 2019 |
| Discovering latent node Information by graph attention network W Gu, F Gao, X Lou, J Zhang Scientific reports 11 (1), 6967, 2021 | 34* | 2021 |
| Learning universal network representation via link prediction by graph convolutional neural network W Gu, F Gao, R Li, J Zhang Journal of Social Computing 2 (1), 43-51, 2021 | 28 | 2021 |
| Assessing the attraction of cities on venture capital from a scaling law perspective R Li, L Lu, T Cui, W Gu, S Ma, G Xu, HE Stanley IEEE Access 9, 48052-48063, 2021 | 18 | 2021 |
| The hidden flow structure and metric space of network embedding algorithms based on random walks W Gu, L Gong, X Lou, J Zhang Scientific reports 7 (1), 13114, 2017 | 16 | 2017 |
| Predicting Tie Strength of Chinese Guanxi by Using Big Data of Social Networks X Gao, JD Luo, K Yang, X Fu, L Liu, W G Journal of Social Computing, 2020 | 8 | 2020 |
| The atlas of chinese world wide web ecosystem shaped by the collective attention flows X Lou, Y Li, W Gu, J Zhang PloS one 11 (11), e0165240, 2016 | 8 | 2016 |
| EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis M Gao, Z Li, R Li, C Cui, X Chen, B Ye, Y Li, W Gu, Q Gong, X Wang, ... Patterns 4 (10), 2023 | 6 | 2023 |
| Unveiling latent structure of venture capital syndication networks W Gu, A Yang, L Lu, R Li Entropy 24 (10), 1506, 2022 | 4 | 2022 |
| An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning W Gu, S Wang arXiv preprint arXiv:2403.07566, 2024 | 2 | 2024 |
| A deep generative framework with embedded vector arithmetic and classifier for sample generation, label transfer, and clustering of single-cell data L Wang, R Nie, Z Zhang, W Gu, S Wang, A Wang, J Zhang, J Cai Cell Reports Methods 3 (8), 2023 | 1 | 2023 |
| Pay Attention to Weak Ties: A Heterogeneous Multiplex Representation Learning Framework for Link Prediction W Gu, L Lv, G Lu, R Li arXiv preprint arXiv:2406.11904, 2024 | | 2024 |
| Improving link prediction accuracy of network embedding algorithms via rich node attribute information W Gu, J Hou, W Gu Journal of Social Computing 4 (4), 326-336, 2023 | | 2023 |
| A Divisive Approach for All Pairs Shortest Path on Large-Scale Graphs with Limited Resources Y Liu, G Lu, W Gu International Conference on Computer Science and Education, 385-397, 2022 | | 2022 |
| A Fast Dynamic Adaptive Sampling Algorithm for Large-Scale Online Social Networks J Jin, G Lu, W Gu International Conference on Computer Science and Education, 337-349, 2022 | | 2022 |
| Exploring Scientists’ Research Behaviors Based on LDA. QC Benji Li, W Gu Intelligent Computing, 2019 | | 2019 |
Ruiqi LiAssociate Professor, UrbanNet Lab, College of Information Science and Technology, BUCT Beijing在 mit.edu 的电子邮件经过验证
