Research map / Graph learning / Graph algorithms and clustering
Analysis and Optimization of Graph Decompositions by Lifted Multicuts
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Box Facets and Cut Facets of Lifted Multicut Polytopes (ICML 2024 · similarity 0.86)
- Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better (ICML 2024 · similarity 0.84)
- Edge-Colored Clustering in Hypergraphs: Beyond Minimizing Unsatisfied Edges (ICML 2025 · similarity 0.84)
- Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability (ICML 2025 · similarity 0.83)
- A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering (ICML 2024 · similarity 0.83)
- Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering (AAAI 2024 · similarity 0.83)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
