Node Representation Learning for Directed Graphs

22 October 2018

Papers citing "Node Representation Learning for Directed Graphs"

6 / 6 papers shown

Title
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Y. Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 37 0 0 23 Mar 2025
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 22 7 0 18 Nov 2022
Rethinking the positive role of cluster structure in complex networks for link prediction tasks Shan-Shan Zhang Wenjiao Zhang Zhan Bu 19 0 0 04 Nov 2022
A Multi-purposed Unsupervised Framework for Comparing Embeddings of Undirected and Directed Graphs Bogumil Kamiñski Ł. Kraiński P. Prałat F. Théberge 15 8 0 30 Nov 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 11 49 0 24 Oct 2021
Directed Graph Representation through Vector Cross Product Ramanujam Madhavan Mohit Wadhwa 23 2 0 21 Oct 2020