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Negative link prediction to reduce dropout in Massive Open Online Courses
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main...
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Link prediction in directed complex networks: combining similarity-popularity and path patterns mining
Discovering new relationships between entities in networked data is essential in various applications such as sociology, security, physics, and...
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Graph Neural Networks: Link Prediction
Link prediction is an important application of graph neural networks. By predicting missing or future links between pairs of nodes, link prediction...
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SCHOLAT Link Prediction: A Link Prediction Dataset Fusing Topology and Attribute Information
Link prediction is an important research field on social network analysis. However, most existing link prediction datasets have not taken text...
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Spatial Link Prediction with Spatial and Semantic Embeddings
Semantic geospatial applications, such as geographic question answering, have benefited from knowledge graphs incorporating information regarding...
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Revisiting Link Prediction with the Dowker Complex
We propose a novel method to study properties of graph-structured data by means of a geometric construction called Dowker complex. We study this...
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PosKHG: A Position-Aware Knowledge Hypergraph Model for Link Prediction
Link prediction in knowledge hypergraphs is essential for various knowledge-based applications, including question answering and recommendation...
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Network alignment and link prediction using event-based embedding in aligned heterogeneous dynamic social networks
People are associated with multiple social networks to enjoy the exclusive services provided by each. Such users may be well established in some...
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Heterogeneous Line Graph Neural Network for Link Prediction
Heterogeneous network link prediction is an important network information mining problem. Existing link prediction methods for heterogeneous networks...
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SDEGNN: Signed graph neural network for link sign prediction enhanced by signed distance encoding
The existing signed graph neural networks mainly focus on the design process of neighbor aggregation function, but ignore the correlation between...
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Link Prediction in Knowledge Graphs (and its Relation to RDF2vec)
In recent years, a long list of research works has been published which utilize knowledge graph embeddings for link prediction (rather than node...
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Graph regularized autoencoding-inspired non-negative matrix factorization for link prediction in complex networks using clustering information and biased random walk
The task of link prediction has become a fundamental research problem in the analysis of complex networks. However, most existing non-negative matrix...
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Link Prediction in Multiplex Network Based on Regression and Conditional Probability
Multiplex networks are often used to describe the relationship of different properties between the same group of entities in real complex system, in...
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Link Prediction on Complex Networks: An Experimental Survey
Complex networks have been used widely to model a large number of relationships. The outbreak of COVID-19 has had a huge impact on various complex...
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A novel cross-network node pair embedding methodology for anchor link prediction
Anchor link prediction across social networks is highly important for multiple social network analysis. Traditional methods rely heavily on...
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A Representation Learning Link Prediction Approach Using Line Graph Neural Networks
Link prediction problem aims to infer the potential future links between two nodes in the network. Most of the existing methods exhibit limited...
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NodeSim: node similarity based network embedding for diverse link prediction
In real-world complex networks, understanding the dynamics of their evolution has been of great interest to the scientific community. Predicting...
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FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction
Heterogeneous information networks (HINs) are ubiquitous in real-world social systems. To effectively learn representations of HINs, Graph Neural...
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Research on Link Prediction Algorithms Based on Multichannel Structure Modelling
Today's link prediction methods are based on the network structure using a single-channel approach for prediction, and there is a lack of link...
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Knowledge graph embedding by projection and rotation on hyperplanes for link prediction
Knowledge is increasingly completed due to connections formed in a knowledge graph, enabling a complete understanding of reality. Link prediction...
