Feb 16, 2021 · A link prediction model based on feature representation and fusion is proposed in this paper, which combines network structures and text information, to ...
Link prediction is one of the core problems in social network analysis. Considering the complexity of features in social networks, we propose a link ...
People also ask
What are the methods of link prediction?
What is a link prediction?
What are the metrics for link prediction?
Which algorithm is efficient for link prediction based on local information considering the effect of node degree?
Jul 20, 2022 · Motivated by feature fusion methods in the Computer Vision (CV), we introduce a link prediction model based on attentional feature fusion (AFF- ...
Oct 22, 2024 · Link prediction is the process of detecting new or missing links in any network. This work focuses on link prediction in dynamic networks.
Oct 19, 2020 · In this study, we established the Subgraph Hierarchy Feature Fusion (SHFF) model for link prediction.
This paper proposes a hypernetwork link prediction method for fusion topology and attributes (TA-HLP).
Jul 16, 2023 · Fusion-based attributed methods combine node attributes or content information with the network structure to learn the node embeddings[25, 26].
Link prediction is a critical task in the field of knowledge graph embedding (KGE) to uncover potential missing or unknown relationships between entities in a ...
Combining sociological theory, a novel temporal link prediction method was proposed based on community multi-feature fusion embedding representation.The ...
This study established the Subgraph Hierarchy Feature Fusion (SHFF) model for link prediction and compared the proposed model against other state-of-the-art ...