- Title
- GraphLearning’22: 1st International Workshop on Graph Learning
- Creator
- Xia, Feng; Lambiotte, Renaud; Aggarwal, Charu
- Date
- 2022
- Type
- Text; Conference proceedings
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/188933
- Identifier
- vital:17356
- Identifier
-
https://doi.org/10.1145/3487553.3524869
- Identifier
- ISBN:978-1-4503-9130-6
- Abstract
- The First Workshop on Graph Learning aims to bring together researchers and practitioners from academia and industry to discuss recent advances and core challenges of graph learning. This workshop will be established as a platform for multiple disciplines such as computer science, applied mathematics, physics, social sciences, data science, complex networks, and systems engineering. Core challenges in regard to theory, methodology, and applications of graph learning will be the main center of discussions at the workshop.
- Publisher
- ACM
- Relation
- WWW '22: Companion Proceedings of the Web Conference 2022, Virtual Event, Lyon France April 25 - 29, 2022 p. 1004-1005
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- © 2022 Association for Computing Machinery.
- Full Text
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