HIGHLIGHTS
- who: Akrati Saxena from the Department of Mathematics and University of Technology, Eindhoven, The Netherlands have published the paper: NodeSim: node similarity based network embedding for diverse link prediction, in the Journal: (JOURNAL)
- what: The authors propose a network embedding method called NodeSim which captures both similarities between the nodes and the community structure while learning the low-dimensional representation of the network. Next, the authors propose a link prediction method that trains a logistic regression model using node pair embedding and their community information to predict both the inter and intra-community links with . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.