17 citations · 18 across the 2 of their papers we have counts for
5 papers
Understanding the mesoscopic scaling patterns within cities
Lei Dong, Zhou Huang, Jiang Zhang +1
Understanding quantitative relationships between urban elements is crucial for a wide range of applications. The observation at the macroscopic level demonstrates that the aggregat…
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…
Gumbel-softmax Optimization: A Simple General Framework for Combinatorial Optimization Problems on Graphs
Jing Liu, Fei Gao, Jiang Zhang
Many problems in real life can be converted to combinatorial optimization problems (COPs) on graphs, that is to find a best node state configuration or a network structure such tha…
A General Deep Learning Framework for Network Reconstruction and Dynamics Learning
Zhang Zhang, Yi Zhao, Jing Liu +4
Many complex processes can be viewed as dynamical systems on networks. However, in real cases, only the performances of the system are known, the network structure and the dynamica…
Common Patterns of Energy Flow and Biomass Distribution on Weighted Food Webs
Jiang Zhang, Yuanjing Feng
Weights of edges and nodes on food webs which are available from the empirical data hide much information about energy flows and biomass distributions in ecosystem. We define a set…