The computational complexity of Weisfeiler–Leman refinement
OpenAI research collection · 4 manuscripts · Source checked 2026-10-19
OpenAI's result summary
Proves unconditional n^{\Omega(k)} deterministic time lower bounds for joint and separate k-dimensional Weisfeiler–Leman equivalence, for sufficiently large fixed k in the specified sequential adjacency-matrix models. With dimension as input, joint equivalence is EXPTIME-complete even on subcubic graphs; deciding whether refinement identifies a graph is also EXPTIME-complete.
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MANUSCRIPT 01
Parity lifts and bounded-treewidth witnesses for Weisfeiler–Leman equivalence
For k ≥ 4, we construct two uncolored graphs that are k-dimensional Weisfeiler–Leman equivalent exactly when a prescribed finite-domain choice system has no compatible choice. The system has k+1 domains for joint refinement and k for separate-coordinate refinement. A successful choice is detected after two joint rounds or one…
Full source abstract
For k ≥ 4, we construct two uncolored graphs that are k-dimensional Weisfeiler–Leman equivalent exactly when a prescribed finite-domain choice system has no compatible choice. The system has k+1 domains for joint refinement and k for separate-coordinate refinement. A successful choice is detected after two joint rounds or one separate round. Applied to sparse satisfiability, the reduction gives fixed-dimension n^{\Omega(k)} time exclusions under positive-rate ETH, even for deciding equality of these early histograms.
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The complexity of identifying a graph by Weisfeiler–Leman refinement
We prove that deciding whether Weisfeiler–Leman refinement of an input dimension identifies a given graph is EXPTIME-complete. The input is a nonempty finite simple uncolored graph in adjacency-matrix form and a positive binary-encoded dimension. Identification quantifies over every comparison graph.
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Unconditional time lower bounds for Weisfeiler–Leman equivalence
For every sufficiently large fixed k, deciding whether two n-vertex graphs are k-Weisfeiler–Leman equivalent requires n^{\Omega(k)} deterministic sequential time in the worst case. The bound holds at every sufficiently large graph order, even for simple connected uncolored graphs of diameter at most two, without a complexity…
Full source abstract
For every sufficiently large fixed k, deciding whether two n-vertex graphs are k-Weisfeiler–Leman equivalent requires n^{\Omega(k)} deterministic sequential time in the worst case. The bound holds at every sufficiently large graph order, even for simple connected uncolored graphs of diameter at most two, without a complexity assumption. Inputs are explicit adjacency matrices; the models are multitape Turing machines and sequential logarithmic-word RAMs with fixed polynomial-bit-time instructions. Both joint and separate replacement conventions are covered.
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Variable-dimension Weisfeiler–Leman equivalence on general and subcubic graphs
Deciding joint-update k-dimensional Weisfeiler–Leman equivalence is \mathsf{EXPTIME}-complete when the two graphs are given by explicit adjacency matrices and k ≥ 2 is encoded in binary. The result holds even for connected simple uncolored graphs of equal positive order and maximum degree at most three.
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