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 …

A novel link prediction algorithm based on inductive matrix completion

Z Zhao, Z Gou, Y Du, J Ma, T Li, R Zhang - Expert Systems with Applications, 2022 - Elsevier
Link prediction refers to predicting the connection probability between two nodes in terms of
existing observable network information, such as network structural topology and node …

Artificial intelligence for biology

S Hassoun, F Jefferson, X Shi, B Stucky… - Integrative and …, 2021 - academic.oup.com
Despite efforts to integrate research across different subdisciplines of biology, the scale of
integration remains limited. We hypothesize that future generations of Artificial Intelligence …

Simple, economic, ecofriendly method to extract starch nanoparticles from potato peel waste for biological applications

MS Hasanin - Starch‐Stärke, 2021 - Wiley Online Library
Nowadays, global strategies are focusing to decrease environmental waste loading that is
developed with reuse or recycle waste products. Moreover, production of the high‐value …

An Overview of Similarity-Based Methods in Predicting Social Network Links: A Comparative Analysis

SU Balvir, MM Raghuwanshi, PD Shobhane - IEEE Access, 2024 - ieeexplore.ieee.org
Link prediction in the Social Network is most important and an essential part now a days.
The continued growth and evolution of this field will lead to new and improved methods for …

Similarity-based link prediction in social networks using latent relationships between the users

A Zareie, R Sakellariou - Scientific reports, 2020 - nature.com
Social network analysis has recently attracted lots of attention among researchers due to its
wide applicability in capturing social interactions. Link prediction, related to the likelihood of …

Effective link prediction in multiplex networks: A TOPSIS method

S Bai, Y Zhang, L Li, N Shan, X Chen - Expert Systems with Applications, 2021 - Elsevier
This paper investigates the link prediction in multiplex networks. Multiplex networks that
represent multiple types of interaction between the same group of individuals are a special …

Link prediction in complex network using information flow

F Aziz, LT Slater, L Bravo-Merodio, A Acharjee… - Scientific Reports, 2023 - nature.com
Link prediction in complex networks has recently attracted a great deal of attraction in
diverse scientific domains, including social and biological sciences. Given a snapshot of a …

Path-based extensions of local link prediction methods for complex networks

F Aziz, H Gul, I Uddin, GV Gkoutos - Scientific reports, 2020 - nature.com
Link prediction in a complex network is a problem of fundamental interest in network science
and has attracted increasing attention in recent years. It aims to predict missing (or future) …

Predicting biomedical interactions with higher-order graph convolutional networks

KC Kishan, R Li, F Cui… - IEEE/ACM transactions on …, 2021 - ieeexplore.ieee.org
Biomedical interaction networks have incredible potential to be useful in the prediction of
biologically meaningful interactions, identification of network biomarkers of disease, and the …