Link prediction techniques, applications, and performance: A survey
Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …
Link prediction in social networks: the state-of-the-art
In social networks, link prediction predicts missing links in current networks and new or
dissolution links in future networks, is important for mining and analyzing the evolution of …
dissolution links in future networks, is important for mining and analyzing the evolution of …
Personalized entity recommendation: A heterogeneous information network approach
Among different hybrid recommendation techniques, network-based entity recommendation
methods, which utilize user or item relationship information, are beginning to attract …
methods, which utilize user or item relationship information, are beginning to attract …
A new link prediction in multiplex networks using topologically biased random walks
Link prediction is a technique to forecast future new or missing relationships between nodes
based on the current network information. However, the link prediction in monoplex …
based on the current network information. However, the link prediction in monoplex …
A survey of link recommendation for social networks: Methods, theoretical foundations, and future research directions
Link recommendation has attracted significant attention from both industry practitioners and
academic researchers. In industry, link recommendation has become a standard and most …
academic researchers. In industry, link recommendation has become a standard and most …
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 …
Abslearn: a gnn-based framework for aliasing and buffer-size information retrieval
Inferring aliasing and buffer-size information is important to understanding a C program's
memory layout, which is critical to program analysis and security-related tasks. However …
memory layout, which is critical to program analysis and security-related tasks. However …
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 …
Coupledlp: Link prediction in coupled networks
We study the problem of link prediction in coupled networks, where we have the structure
information of one (source) network and the interactions between this network and another …
information of one (source) network and the interactions between this network and another …
Utility-based link recommendation for online social networks
Link recommendation, which suggests links to connect currently unlinked users, is a key
functionality offered by major online social networks. Salient examples of link …
functionality offered by major online social networks. Salient examples of link …