Results 1 to 10 of about 6,752,678 (299)
Multimorbidity prediction using link prediction [PDF]
Scientific Reports, 2021 Multimorbidity, frequently associated with aging, can be operationally defined as the presence of two or more chronic conditions. Predicting the likelihood of a patient with multimorbidity to develop a further particular disease in the future is one of ...
Furqan Aziz +7 more
doaj +3 more sources
Link prediction on Twitter. [PDF]
PLoS ONE, 2017 With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment ...
Sanda Martinčić-Ipšić +2 more
doaj +7 more sources
Progresses and challenges in link prediction [PDF]
iScience, 2021 Summary Link prediction is a paradigmatic problem in network science, which aims at estimating the existence likelihoods of nonobserved links, based on known topology.
Tao Zhou
semanticscholar +6 more sources
Improved Link Prediction Using PCA
International Journal of Analysis and Applications, 2019 Link Prediction is known as a challenging problem in the area of online social media. Earlier, learning model for link prediction task has been proposed by many researchers. But the classification of imbalanced and high dimensional data is an interesting
. Ankita, Nanhay Singh
doaj +4 more sources
Towards Better Evaluation for Dynamic Link Prediction [PDF]
Neural Information Processing Systems, 2022 Despite the prevalence of recent success in learning from static graphs, learning from time-evolving graphs remains an open challenge. In this work, we design new, more stringent evaluation procedures for link prediction specific to dynamic graphs, which
Farimah Poursafaei +3 more
semanticscholar +1 more source
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking [PDF]
Neural Information Processing Systems, 2023 Link prediction attempts to predict whether an unseen edge exists based on only a portion of edges of a graph. A flurry of methods have been introduced in recent years that attempt to make use of graph neural networks (GNNs) for this task.
Juanhui Li +7 more
semanticscholar +1 more source
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
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