A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks

Jianxin Tang, Ruisheng Zhang, Ping Wang, +3

Knowledge-Based Systems

Computational Social ScienceNetwork ScienceEngineeringNetwork AlgorithmInfluence Maximization +10

Maximizing the spread of influence via the collective intelligence of discrete bat algorithm

Jianxin Tang, Ruisheng Zhang, Yabing Yao, +4

Knowledge-Based Systems

EngineeringNetwork AlgorithmData ScienceFirefly AlgorithmCollective Intelligence +7

Ranking influential spreaders based on both node k-shell and structural hole

Zhili Zhao, Ding Li, Yue Sun, +2

Knowledge-Based Systems

Network ScienceEngineeringData ScienceNetwork AlgorithmNode K-shell +6

Identification of top-k influential nodes based on enhanced discrete particle swarm optimization for influence maximization

Jianxin Tang, Ruisheng Zhang, Yabing Yao, +4

Physica A Statistical Mechanics and its Applications

Network ScienceEngineeringData ScienceData MiningTop-k Influential Nodes +4

Combining forward with recurrent neural networks for hourly air quality prediction in Northwest of China

Zhili Zhao, Jian Qin, Zhaoshuang He, +3

Environmental Science and Pollution Research

MeteorologyEnvironmental MonitoringEngineeringData ScienceUrban Air Quality +7

LPA-MNI: An Improved Label Propagation Algorithm Based on Modularity and Node Importance for Community Detection

Huan Li, Ruisheng Zhang, Zhili Zhao, +1

Entropy

EngineeringCommunity MiningNetwork AnalysisCommunity DiscoveryText Mining +15

Identification of top-k influential nodes based on discrete crow search algorithm optimization for influence maximization

Huan Li, Ruisheng Zhang, Zhili Zhao, +2

Applied Intelligence

Computational Social ScienceNetwork ScienceEngineeringData ScienceData Mining +8

A novel link prediction algorithm based on inductive matrix completion

Zhili Zhao, Zhuoyue Gou, Yuhong Du, +3

Expert Systems with Applications

Network ScienceInformation RetrievalData ScienceData MiningMachine Learning +10

MultiGran-SMILES: multi-granularity SMILES learning for molecular property prediction

Jing Jiang, Ruisheng Zhang, Zhili Zhao, +4

Bioinformatics

TranGRU: focusing on both the local and global information of molecules for molecular property prediction

Jing Jiang, Ruisheng Zhang, Jun Ma, +5

Applied Intelligence

EngineeringMedicineMolecular PropertyComputational BiologyMolecular Biology +8