Results 11 to 20 of about 7,799,039 (309)
Link Prediction in Social Networks: the State-of-the-Art
Science China Information Sciences, 2014 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 social networks.
Wang, Peng +3 more
core +3 more sources
IMF: Interactive Multimodal Fusion Model for Link Prediction [PDF]
The Web Conference, 2023 Link prediction aims to identify potential missing triples in knowledge graphs. To get better results, some recent studies have introduced multimodal information to link prediction.
Xinhang Li +4 more
semanticscholar +1 more source
Neural Common Neighbor with Completion for Link Prediction [PDF]
International Conference on Learning Representations, 2023 In this work, we propose a novel link prediction model and further boost it by studying graph incompleteness. First, we introduce MPNN-then-SF, an innovative architecture leveraging structural feature (SF) to guide MPNN's representation pooling, with its
Xiyuan Wang, Hao-Ting Yang, Muhan Zhang
semanticscholar +1 more source
Structural Importance-based Link Prediction Techniques in Social Network [PDF]
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2021 Link prediction in social network gaining high attention of researchers nowadays due to the rush of users towards social network. Link prediction is known as the prediction of missing or unobserved link, i.e., new interaction is going ...
Abdul Samad +2 more
doaj +1 more source
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction [PDF]
Neural Information Processing Systems, 2022 Graph Neural Networks (GNNs) have been widely applied to various fields for learning over graph-structured data. They have shown significant improvements over traditional heuristic methods in various tasks such as node classification and graph ...
Seongjun Yun +4 more
semanticscholar +1 more source
Complex Network Link Prediction Method Based on Topology Similarity and XGBoost [PDF]
Jisuanji kexue, 2021 In order to improve the performance of complex network link prediction,topology similarity and XGBoost algorithm are used to complete link prediction in complex network.According to the topological structure of complex network,the adjacency matrix is ...
GONG Zhui-fei, WEI Chuan-jia
doaj +1 more source
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction [PDF]
The Web Conference, 2023 Transparency and accountability have become major concerns for black-box machine learning (ML) models. Proper explanations for the model behavior increase model transparency and help researchers develop more accountable models. Graph neural networks (GNN)
Shichang Zhang +6 more
semanticscholar +1 more source
A Theory of Link Prediction via Relational Weisfeiler-Leman [PDF]
Neural Information Processing Systems, 2023 Graph neural networks are prominent models for representation learning over graph-structured data. While the capabilities and limitations of these models are well-understood for simple graphs, our understanding remains incomplete in the context of ...
Xingyue Huang +3 more
semanticscholar +1 more source
Revisiting Link Prediction: A Data Perspective [PDF]
International Conference on Learning Representations, 2023 Link prediction, a fundamental task on graphs, has proven indispensable in various applications, e.g., friend recommendation, protein analysis, and drug interaction prediction. However, since datasets span a multitude of domains, they could have distinct
Haitao Mao +8 more
semanticscholar +1 more source
Graph Neural Networks for Link Prediction with Subgraph Sketching [PDF]
International Conference on Learning Representations, 2022 Many Graph Neural Networks (GNNs) perform poorly compared to simple heuristics on Link Prediction (LP) tasks. This is due to limitations in expressive power such as the inability to count triangles (the backbone of most LP heuristics) and because they ...
B. Chamberlain +7 more
semanticscholar +1 more source