A comprehensive survey of link prediction methods

D Arrar, N Kamel, A Lakhfif - The journal of supercomputing, 2024 - Springer
Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

Joint friend and item recommendation based on multidimensional feature reciprocal interaction in social e-commerce

W Zhou, F Guo, H Xu, Z Wang - Electronic Commerce Research and …, 2024 - Elsevier
Social e-commerce platforms need to undertake the two core tasks of recommending
potential social friends and preferred consumption items for users. However, the use of …

The spatial difference of multi-layer climate change information flow and network construction: A comparison of “dual carbon” scenarios

M Wu, R Long, H Chen, W Li - Journal of Cleaner Production, 2023 - Elsevier
Climate change is a critical topic in environmental communication. Through effective
information communication, efforts and contributions to reducing greenhouse gas emissions …

Preserving node similarity adversarial learning graph representation with graph neural network

S Yang, Y Zhang, JE, X Xia, X Xu - Engineering Reports, 2024 - Wiley Online Library
In recent years, graph neural networks (GNNs) have showcased a strong ability to learn
graph representations and have been widely used in various practical applications …

Empirical analysis of link prediction methods based on the topological structure of the COVID-19 network

SA Solangi, AW Mahesar, LD Dhomeja, BR Memon - 2024 - researchsquare.com
Link prediction has been remained an important field in many research areas in complex
networks. It helps to understand the significant variety of relationships between nodes based …