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Disobeying Directions: Switching Random Walk Filters for Unsupervised Node Embedding Learning on Directed Graphs
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL. KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Collaborative Autonomous Systems.ORCID iD: 0000-0003-2965-2953
2025 (English)In: Transactions on Machine Learning Research, E-ISSN 2835-8856Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
2025.
Keywords [en]
directed graphs, node embeddings, unsupervised learning, random walks
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-366840OAI: oai:DiVA.org:kth-366840DiVA, id: diva2:1984909
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)
Note

QC 20250806

Available from: 2025-07-18 Created: 2025-07-18 Last updated: 2026-01-08Bibliographically approved

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Ceylan, CiwanKragic Jensfelt, Danica

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