activity
20172020
most citedPrincipled approach to the selection of the embedding dimension of networks

65 citations · 108 across the 5 of their papers we have counts for

collaborators

5 papers

physics.soc-ph2020★ 23 cited

Assessing the attraction of cities on venture capital from a scaling law perspective

Ruiqi Li, Lingyun Lu, Weiwei Gu +3

Cities are centers for the integration of capital and incubators of invention, and attracting venture capital (VC) is of great importance for cities to advance in innovative techno…

physics.soc-ph2020★ 65 cited

Principled approach to the selection of the embedding dimension of networks

Weiwei Gu, Aditya Tandon, Yong-Yeol Ahn +1

Network embedding is a general-purpose machine learning technique that encodes network structure in vector spaces with tunable dimension. Choosing an appropriate embedding dimensio…

cs.SI2019★ 17 cited

Link Prediction via Graph Attention Network

Weiwei Gu, Fei Gao, Xiaodan Lou +1

Link prediction aims to infer missing links or predicting the future ones based on currently observed partial networks, it is a fundamental problem in network science with tremendo…

cs.SI2018★ 3 cited

Exploring Small-World Network with an Elite-Clique: Bringing Embeddedness Theory into the Dynamic Evolution of a Venture Capital Network

Weiwei Gu, Jar-der Luo, Jifan Liu

This paper uses a network dynamics model to explain the formation of a small-world network with an elite-clique. This network is a small-world network with an elite-clique at its c…

physics.soc-ph2017

The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks

Weiwei Gu, Li Gong, Xiandao Lou +1

Network embedding which encodes all vertices in a network as a set of numerical vectors in accordance with it's local and global structures, has drawn widespread attention. Network…