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| { | |
| "schema_version": 1, | |
| "title": "Rotary Position Encodings for Graphs (WIRE)", | |
| "emoji": "๐", | |
| "space_id": "snaykey/repro-wire", | |
| "paper": { | |
| "arxiv_id": "2509.22259", | |
| "openreview_id": "trn64znfNx" | |
| }, | |
| "tags": [ | |
| "icml2026-repro", | |
| "paper-trn64znfNx" | |
| ], | |
| "updated_at": "2026-07-21T17:22:51+00:00", | |
| "root": { | |
| "slug": "index", | |
| "title": "Rotary Position Encodings for Graphs (WIRE)", | |
| "file": "pages/index.md", | |
| "children": [ | |
| { | |
| "slug": "executive-summary", | |
| "title": "Executive summary", | |
| "file": "pages/executive-summary/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-1-wire-algorithm", | |
| "title": "WIRE applies rotary position encodings to graphs by using Laplacian spectral coordinates to define graph-dependent rotation angles (Figure 1, Section 3).", | |
| "file": "pages/claim-1-wire-algorithm/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-2-equivariance", | |
| "title": "The WIRE transformation is equivariant to node-order permutations up to sign flips and rotations in degenerate eigenspaces (Lemma 1).", | |
| "file": "pages/claim-2-equivariance/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-3-rope-special-case", | |
| "title": "Regular RoPE is recovered as a special case of WIRE on grid graphs with appropriate learnable frequencies (Theorem 2, Figure 2).", | |
| "file": "pages/claim-3-rope-special-case/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-4-effective-resistance", | |
| "title": "WIRE asymptotically depends on graph effective resistance under the paper's spectral-feature assumptions (Theorem 3).", | |
| "file": "pages/claim-4-effective-resistance/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "conclusion", | |
| "title": "Conclusion", | |
| "file": "pages/conclusion/page.md", | |
| "children": [] | |
| }, | |
| { | |
| "slug": "claim-5-empirical-tables", | |
| "title": "Experiments report WIRE improvements on synthetic monochromatic-subgraph and shortest-path tasks, point-cloud transformers, and efficient graph transformer benchmarks (Table 1, Table 2, Table 3, Table 4).", | |
| "file": "pages/claim-5-empirical-tables/page.md", | |
| "children": [] | |
| } | |
| ] | |
| }, | |
| "agent_view_tokens": 2954, | |
| "revision": "1784654571781165900" | |
| } |