A5048167870- Complex Network Analysis Techniques
- Advanced Graph Neural Networks
- Opinion Dynamics and Social Influence
- Bioinformatics and Genomic Networks
- Graph Theory and Algorithms
- Caching and Content Delivery
China University of Mining and Technology
2021-2024
Link prediction is an important task in social network analysis and mining because of its various applications. A large number link methods have been proposed. Among them, the deep learning-based embedding exhibit excellent performance, which encodes each node edge as vector, enabling easy integration with traditional machine learning algorithms. However, there still remain some unsolved problems for this kind methods, especially steps embedding. First, they either share exactly same weight...
The influence are not linked to any footnote in the text. Please check and suggest. maximization problem aims at selecting k most influential nodes (i.e., seed nodes) from a social network, where can maximize number of influenced activated by certain propagation model. However, widely used Independent Cascade model shares same probability among substantial adjacent node pairs, which is too idealistic unreasonable practice. In addition, heuristic algorithms for need update expected remaining...
Network dismantling is one of the important NP-hard problems in field social network analysis. It aims to break down networks into many small components limited size by only removing a group nodes. One feasible way decycle (eliminating all cycles) first and then acyclic graph. However, existing decycling-based algorithms mainly concentrate on decycling step, ignoring importance tree breaking process. Besides, none try pre-process network, which may bring improvement both effectiveness...