Results 31 to 40 of about 3,270,134 (279)
Drug Response Prediction as a Link Prediction Problem [PDF]
Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics, 2017 5 minute rapid-resource talk given at the NetBio track of ISMB-ECCB 2017 in Prague, CZ. Based on an approach using a network proximity algorithm on a heterogeneous network to predict drug response for cancer cell lines. Published in Nature Scientific Reports in January 2017.
Zachary Stanfield +2 more
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Hill Climbing-Based Efficient Model for Link Prediction in Undirected Graphs
Mathematics, 2022 Link prediction is a key problem in the field of undirected graph, and it can be used in a variety of contexts, including information retrieval and market analysis. By “undirected graphs”, we mean undirected complex networks in this study. The ability to
Haji Gul +4 more
doaj +1 more source
The Absence of a Weak-Tie Effect When Predicting Large-Weight Links in Complex Networks
Entropy, 2023 Link prediction is a hot issue in information filtering. Link prediction algorithms, based on local similarity indices, are widely used in many fields due to their high efficiency and high prediction accuracy.
Chengjun Zhang +6 more
doaj +1 more source
Social Relationship Prediction Integrating Personality Traits and Asymmetric Interactions
Frontiers in Psychology, 2022 Social networks have become an important way for users to find friends and expand their social circle. Social networks can improve users’ experience by recommending more suitable friends to them. The key lies in improving the accuracy of link prediction,
Chunhua Ju +7 more
doaj +1 more source
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010 In the traditional link prediction problem, a snapshot of a so- cial network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely to ap- pear in the future. In this paper, we introduce cold start link prediction as the problem of predicting the structure of a social network when the network itself is ...
Leroy, Vincent +2 more
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Learning from Counterfactual Links for Link Prediction
, 2021 Accepted by ICML ...
Tong Zhao 0003 +4 more
openaire +3 more sources
The Influence of Network Structural Preference on Link Prediction
Discrete Dynamics in Nature and Society, 2020 Link prediction in complex networks predicts the possibility of link generation between two nodes that have not been linked yet in the network, based on known network structure and attributes.
Yongcheng Wang +3 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source
Privacy-Preserving Link Prediction
, 2023 Consider two data holders, ABC and XYZ, with graph data (e.g., social networks, e-commerce, telecommunication, and bio-informatics). ABC can see that node A is linked to node B, and XYZ can see node B is linked to node C. Node B is the common neighbour of A and C but neither network can discover this fact on their own.
Didem Demirag +3 more
openaire +3 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo +9 more
wiley +1 more source