Graph Isomorphism in Quasipolynomial Time
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Abstract (arXiv)
We show that the Graph Isomorphism (GI) problem and the related problems of String Isomorphism (under group action) (SI) and Coset Intersection (CI) can be solved in quasipolynomial (exp((log n)O(1))) time. The best previous bound for GI was exp(O(√nlog n)), where n is the number of vertices (Luks, 1983); for the other two problems, the bound was similar, exp(tildeO(√n)), where n is the size of the permutation domain (Babai, 1983). The algorithm builds on Luks's SI framework and attacks the barrier configurations for Luks's algorithm by group theoretic "local certificates" and combinatorial canonical partitioning techniques. We show that in a well-defined sense, Johnson graphs are the only obstructions to effective canonical partitioning. Luks's barrier situation is characterized by a homomorphism φ that maps a given permutation group G onto Sk or Ak, the symmetric or alternating group of degree k, where k is not too small. We say that an element x in the permutation domain on which G acts is affected by φ if the φ-image of the stabilizer of x does not contain Ak. The affected/unaffected dichotomy underlies the core "local certificates" routine and is the central divide-and-conquer tool of the algorithm.
Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Dec 2015.
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Citing papers per year: 2021: 9; 2022: 6; 2023: 2; 2024: 0; 2025: 2.
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- 2021Weisfeiler and Leman go Machine Learning: The Story so farcited by 121
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- 2022A Short Tutorial on The Weisfeiler-Lehman Test And Its Variantscited by 52
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- 2025Permutation-Invariant Spectral Learning via Dyson Diffusioncited by 0
- 2025Permutation-Invariant Spectral Learning via Dyson Diffusion9 Oct 2025
- 2025Agent-Q: Fine-Tuning Large Language Models for Quantum Circuit Generation and Optimization15 Apr 2025
- 2023Detection of Common Subtrees with Identical Label Distribution24 Jul 2023
- 2023The expressive power of pooling in Graph Neural Networks4 Apr 2023
- 2022Random graph matching at Otter's threshold via counting chandeliers25 Sep 2022
- 2022Wasserstein Graph Distance Based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees9 Jul 2022
- 2022Ordered Subgraph Aggregation Networks22 Jun 2022
- 2022Group-Invariant Quantum Machine Learning4 May 2022
- 2022SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks25 Mar 2022
- 2022A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants18 Jan 2022
- 2021Weisfeiler and Leman go Machine Learning: The Story so far18 Dec 2021
- 2021Computing Graph Edit Distance with Algorithms on Quantum Devices19 Nov 2021
7 more
- 2021Exact Matching of Random Graphs with Constant Correlation11 Oct 2021
- 2021Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization14 Sep 2021
- 2021Computing Graph Descriptors on Edge Streams2 Sep 2021
- 2021Complexity-based partitioning of CSFI problem instances with Transformers28 Jun 2021
- 2021On the Universality of Graph Neural Networks on Large Random Graphs27 May 2021
- 2021Frequent Pattern Mining in Continuous-time Temporal Networks12 May 2021
- 2021Random Graph Matching with Improved Noise Robustness28 Jan 2021
- 2021Weisfeiler and Leman go Machine Learning: The Story so farcited by 121
- 2022Ordered Subgraph Aggregation Networkscited by 57
- 2022Group-Invariant Quantum Machine Learningcited by 56
- 2022A Short Tutorial on The Weisfeiler-Lehman Test And Its Variantscited by 52
- 2022SpeqNets: Sparsity-aware Permutation-equivariant Graph Networkscited by 37
- 2023The expressive power of pooling in Graph Neural Networkscited by 35
- 2021On the Universality of Graph Neural Networks on Large Random Graphscited by 26
- 2022Random graph matching at Otter's threshold via counting chandelierscited by 25
- 2021Exact Matching of Random Graphs with Constant Correlationcited by 23
- 2021Random Graph Matching with Improved Noise Robustnesscited by 16
- 2021Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterizationcited by 10
- 2021Computing Graph Descriptors on Edge Streamscited by 4
12 most cited of 17 All 17 (JSON)
- 2023Detection of Common Subtrees with Identical Label Distribution24 Jul 2023
- 2023The expressive power of pooling in Graph Neural Networks4 Apr 2023
- 2022Random graph matching at Otter's threshold via counting chandeliers25 Sep 2022
- 2022Wasserstein Graph Distance Based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees9 Jul 2022
- 2022Ordered Subgraph Aggregation Networks22 Jun 2022
- 2022Group-Invariant Quantum Machine Learning4 May 2022
- 2022SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks25 Mar 2022
- 2022A Short Tutorial on The Weisfeiler-Lehman Test And Its Variants18 Jan 2022
- 2021Weisfeiler and Leman go Machine Learning: The Story so far18 Dec 2021
- 2021Computing Graph Edit Distance with Algorithms on Quantum Devices19 Nov 2021
- 2021Exact Matching of Random Graphs with Constant Correlation11 Oct 2021
- 2021Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization14 Sep 2021
12 newest of 17 All 17 (JSON)