all AI news
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model
Feb. 16, 2024, 5:42 a.m. | Maria B{\aa}nkestad, Jennifer Andersson, Sebastian Mair, Jens Sj\"olund
cs.LG updates on arXiv.org arxiv.org
Abstract: Reducing a graph while preserving its overall structure is an important problem with many applications. Typically, the reduction approaches either remove edges (sparsification) or merge nodes (coarsening) in an unsupervised way with no specific downstream task in mind. In this paper, we present an approach for subsampling graph structures using an Ising model defined on either the nodes or edges and learning the external magnetic field of the Ising model using a graph neural network. …
abstract applications arxiv cs.ai cs.lg graph merge mind nodes paper type unsupervised via
More from arxiv.org / cs.LG updates on arXiv.org
The Perception-Robustness Tradeoff in Deterministic Image Restoration
1 day, 19 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne