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pith:2025:6BEETD6CGPYWCSLSRXJCCTHP2J
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The Joint Gromov Wasserstein Objective for Multiple Object Matching

Aryan Tajmir Riahi, Khanh Dao Duc

The Joint Gromov-Wasserstein objective extends pairwise matching to simultaneous matching of multiple objects while remaining non-negative and convergent under point sampling.

arxiv:2511.16868 v2 · 2025-11-21 · cs.CV · q-bio.BM

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Claims

C1strongest claim

Our formulation provides a non-negative dissimilarity measure that identifies partially isomorphic distributions of mm-spaces, with point sampling convergence.

C2weakest assumption

That collections of objects can be jointly represented as metric measure spaces whose joint matching admits the same convergence and non-negativity properties as the classical pairwise case without additional regularity conditions.

C3one line summary

The Joint Gromov-Wasserstein (JGW) objective extends GW to collections of metric measure spaces, yielding a non-negative dissimilarity that detects partial isomorphisms with point-sampling convergence and admits entropic solvers for point clouds.

References

40 extracted · 40 resolved · 0 Pith anchors

[1] Recent advances in shape correspondence 2020
[2] Multiple anonymized social networks alignment 2015
[3] AlignOT: An optimal transport based algorithm for fast 3D alignment with applications to cryogenic electron microscopy density maps 2023
[4] Alignment of Partially Overlapping Cryo-EM Maps Using Unbalanced Gromov-Wasserstein Divergence 2025
[5] Spidermatch: 3D shape matching with global optimality and geometric consis- tency
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First computed 2026-05-18T03:09:33.060889Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
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Canonical hash

f048498fc233f16149728dd2214cefd24d40feca20e68e36112d13c4e62bba81

Aliases

arxiv: 2511.16868 · arxiv_version: 2511.16868v2 · doi: 10.48550/arxiv.2511.16868 · pith_short_12: 6BEETD6CGPYW · pith_short_16: 6BEETD6CGPYWCSLS · pith_short_8: 6BEETD6C
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/6BEETD6CGPYWCSLSRXJCCTHP2J \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f048498fc233f16149728dd2214cefd24d40feca20e68e36112d13c4e62bba81
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2025-11-21T00:31:21Z",
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