119 citations · 201 across the 8 of their papers we have counts for
8 papers
Measuring node similarity using minimum cycles in networks
Bo Yang
Cycles are ubiquitous in various networks such as social, biological, and technological systems, where they play a significant functional and dynamical role. This paper proposes a…
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang +2
Message-passing neural networks (MPNNs) have been successfully applied to representation learning on graphs in a variety of real-world applications. However, two fundamental weakne…
Deep Bayesian Optimization on Attributed Graphs
Jiaxu Cui, Bo Yang, Xia Hu
Attributed graphs, which contain rich contextual features beyond just network structure, are ubiquitous and have been observed to benefit various network analytics applications. Gr…
Graph Bayesian Optimization: Algorithms, Evaluations and Applications
Jiaxu Cui, Bo Yang
Network structure optimization is a fundamental task in complex network analysis. However, almost all the research on Bayesian optimization is aimed at optimizing the objective fun…
Hierarchicality of Trade Flow Networks Reveals Complexity of Products
Peiteng Shi, Jiang Zhang, Bo Yang +1
With globalization, countries are more connected than before by trading flows, which currently amount to at least 36 trillion dollars. Interestingly, approximately 30-60 percent of…
Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks
Dayou Liu, Di Jin, Carlos Baquero +3
In order to further improve the performance of current genetic algorithms aiming at discovering communities, a local search based genetic algorithm GALS is here proposed. The core…