A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding
The prediction of interactions in protein networks is very critical in various biological
processes. In recent years, scientists have focused on computational approaches to predict …
processes. In recent years, scientists have focused on computational approaches to predict …
Robust graph regularization nonnegative matrix factorization for link prediction in attributed networks
Link prediction is one of the most widely studied problems in the area of complex network
analysis, in which machine learning techniques can be applied to deal with it. The biggest …
analysis, in which machine learning techniques can be applied to deal with it. The biggest …
A novel method of spectral clustering in attributed networks by constructing parameter-free affinity matrix
The most basic and significant issue in complex network analysis is community detection,
which is a branch of machine learning. Most current community detection approaches, only …
which is a branch of machine learning. Most current community detection approaches, only …
A comprehensive survey of link prediction methods
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 given network based on their previous interactions and the network structure. Link …
Impact of centrality measures on the common neighbors in link prediction for multiplex networks
Complex networks are representations of real-world systems that can be better modeled as
multiplex networks, where the same nodes develop multi-type connections. One of the …
multiplex networks, where the same nodes develop multi-type connections. One of the …
A novel framework for carbon price forecasting with uncertainties
M Wang, M Zhu, L Tian - Energy economics, 2022 - Elsevier
Carbon price prediction is a key issue in the field of carbon market research. However, the
existing methods of carbon price forecasting mostly regard carbon price series as a certain …
existing methods of carbon price forecasting mostly regard carbon price series as a certain …
A novel link prediction algorithm based on inductive matrix completion
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 …
existing observable network information, such as network structural topology and node …
An effective link prediction method in multiplex social networks using local random walk towards dependable pathways
W Li, T Li, K Berahmand - Journal of Combinatorial Optimization, 2023 - Springer
Abstract Link Prediction Problem (LPP) is defined as the likelihood of a future connection
between two nodes on a network that does not currently have a link between them. Usually …
between two nodes on a network that does not currently have a link between them. Usually …
Integrating node centralities, similarity measures, and machine learning classifiers for link prediction
Link prediction is a widely studied topic in graph data analytics and finds numerous
applications like friend recommendations in social networks and product recommendations …
applications like friend recommendations in social networks and product recommendations …
A novel similarity measure of link prediction in multi‐layer social networks based on reliable paths
R Yang, C Yang, X Peng… - … Practice and Experience, 2022 - Wiley Online Library
Online social networks are an integral element of modern societies and significantly
influence the formation and consolidation of social relationships. In fact, these networks are …
influence the formation and consolidation of social relationships. In fact, these networks are …