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Source: paper_references, paper_reference_links, observed 2026-08-12T20:02:14.081692Z
Paper Citation Record · LEDGER
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport
As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.10204.
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Reference resolution
55 of 55 outbound references displayed
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External citation measurements
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Outbound references
Observation 2fb137ad-a93b-4e05-a74e-395df897e650 · outbound
This paper cites Barycenters in the Wasserstein space.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Barycenters in the Wasserstein space
Reference 1
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Source-reported events for the cited work
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Observation d85a54bb-4938-47d7-bb93-9b6e75a8f460 · outbound
This paper cites Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Squared quadratic Wasserstein distance: optimal couplings and Lions differentiability
Reference 2
- Resolution
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Observation 50f7faf8-a07a-4e91-82f9-55054bba48cb · outbound
This paper cites Gradient flows: in metric spaces and in the space of probability measures.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gradient flows: in metric spaces and in the space of probability measures
Reference 3
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Source-reported events for the cited work
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Observation edbc646d-cad1-41ac-a84c-476e8c8f00f7 · outbound
This paper cites Discrete Wasserstein barycenters: Optimal transport for discrete data, 2015.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Discrete Wasserstein barycenters: Optimal transport for discrete data, 2015
Reference 4
- Resolution
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Observation 7f7dd650-9e33-4260-a568-a3bb05372484 · outbound
This paper cites Wasserstein generative adversarial networks.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Wasserstein generative adversarial networks
Reference 5
- Resolution
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Source-reported events for the cited work
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Observation 23d79792-c220-4006-8135-77fc1e15b7e6 · outbound
This paper cites Linear optimal par- tial transport embedding.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Linear optimal par- tial transport embedding
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation b12e8487-b385-44ad-8359-9f438f7f52c4 · outbound
This paper cites Introduction to linear optimization, volume 6.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Introduction to linear optimization, volume 6
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dedeb09a-26f8-4b3d-a374-00c9629a08c6 · outbound
This paper cites A survey of optimal transport for computer graphics and computer vision.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A survey of optimal transport for computer graphics and computer vision
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 523f6fff-7a79-4a5b-bca2-ebccf5329e56 · outbound
This paper cites Statistics for experimenters , volume 664.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistics for experimenters , volume 664
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b89396fb-f31c-462a-81e4-563fa45944a1 · outbound
This paper cites Super-resolution track-density imaging of thalamic substructures: Com- parison with high-resolution anatomical magnetic reso- nance imaging at 7.0 t.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Super-resolution track-density imaging of thalamic substructures: Com- parison with high-resolution anatomical magnetic reso- nance imaging at 7.0 t
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e4b9b188-554e-4251-a0d8-40739dc7b1a2 · outbound
This paper cites Statistical Inference.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistical Inference
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0405790c-e759-4bf0-bd08-39e01dfa814c · outbound
This paper cites Log-PCA versus Geodesic PCA of histograms in the Wasserstein space.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Log-PCA versus Geodesic PCA of histograms in the Wasserstein space
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation d12fcc06-c13b-4533-8e52-adafaed2ba56 · outbound
This paper cites Statistical optimal transport.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistical optimal transport
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation bd0db825-228a-493f-9d19-97bb59b6f8a4 · outbound
This paper cites An interpolating distance between optimal transport and Fisher–Rao metrics.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport An interpolating distance between optimal transport and Fisher–Rao metrics
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 222788c7-403e-493b-b17c-d51fb1195645 · outbound
This paper cites The Gromov– Wasserstein distance between networks and stable net- work invariants.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport The Gromov– Wasserstein distance between networks and stable net- work invariants
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 89af1896-7639-4174-b994-e7261982e79c · outbound
This paper cites Gromov- Wasserstein averaging in a Riemannian framework.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gromov- Wasserstein averaging in a Riemannian framework
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 74d8d152-bfed-4450-9ddb-378d62c9c716 · outbound
This paper cites Generalized spectral clustering via Gromov-Wasserstein learning.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Generalized spectral clustering via Gromov-Wasserstein learning
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ed5802a5-d008-4c1c-9a5c-b49611321593 · outbound
This paper cites Sinkhorn distances: Lightspeed compu- tation of optimal transport.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sinkhorn distances: Lightspeed compu- tation of optimal transport
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5eff4fbb-b643-4060-87c4-ff55b1f4fc49 · outbound
This paper cites Fast computation of Wasserstein barycenters.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fast computation of Wasserstein barycenters
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.424453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1fc02121-67eb-43a7-ae04-ea421c03360f · outbound
This paper cites A Wasserstein- type distance in the space of gaussian mixture mod- els.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A Wasserstein- type distance in the space of gaussian mixture mod- els
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8516cc8a-2fc8-4229-8730-af9ac3c92e3d · outbound
This paper cites Track orientation density imaging (todi) and track ori- entation distribution (tod) based tractography.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Track orientation density imaging (todi) and track ori- entation distribution (tod) based tractography
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b0a8339c-e1a4-453a-be2b-e72d40fbb07d · outbound
This paper cites Fr´ echet analysis of variance for random objects.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fr´ echet analysis of variance for random objects
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d05f5a60-4378-4951-a62d-5fea1cea794b · outbound
This paper cites an unresolved cited work.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Unresolved cited work
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 42517191-730f-40ef-8bdf-10bcafe80feb · outbound
This paper cites Optimal transport for diffeomorphic registration.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport for diffeomorphic registration
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 33ef383c-5617-4320-850e-56c304795b4a · outbound
This paper cites Fast and scalable optimal transport for brain tractograms.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fast and scalable optimal transport for brain tractograms
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.374857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 27baba1c-0ec0-424c-8186-2029badd6f63 · outbound
This paper cites Statistical methods for research workers.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Statistical methods for research workers
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 75768d54-53ee-4e77-b697-0cb9590ace90 · outbound
This paper cites Optimal transport for domain adap- tation.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport for domain adap- tation
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d5d98409-f6ae-46f2-ae2f-e6357560f0d7 · outbound
This paper cites Principal geodesic analysis for the study of nonlinear statistics of shape.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Principal geodesic analysis for the study of nonlinear statistics of shape
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d54a087d-f01b-4df0-918e-fb939d80409d · outbound
This paper cites Learning generative models with sinkhorn divergences.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Learning generative models with sinkhorn divergences
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b6e72b39-e80d-46c3-b863-99522834d4c6 · outbound
This paper cites Introduction to riemannian geometry and geometric statistics: from basic theory to implementation with geomstats.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Introduction to riemannian geometry and geometric statistics: from basic theory to implementation with geomstats
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8800b353-1296-40a4-a76f-05f1f65c5c67 · outbound
This paper cites Gender dif- ferences in white matter microstructure.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gender dif- ferences in white matter microstructure
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation cabaa695-f921-4847-b8ab-2d6262c77c2b · outbound
This paper cites Lightgbm: A highly efficient gradient boosting deci- sion tree.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Lightgbm: A highly efficient gradient boosting deci- sion tree
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a40b4a67-0f45-4e5a-80ec-15a0ae184d68 · outbound
This paper cites MNIST handwritten digit database.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport MNIST handwritten digit database
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f967f45-83b1-41c8-b603-69c20bf82f4b · outbound
This paper cites Sinkhorn barycenters with free sup- port via frank-wolfe algorithm.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sinkhorn barycenters with free sup- port via frank-wolfe algorithm
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 62fa467f-eded-4b80-8d0d-b3deabfe0d16 · outbound
This paper cites Learn- ing word vectors for sentiment analysis.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Learn- ing word vectors for sentiment analysis
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6ee5d8be-2f78-496d-8ab7-9576088fde10 · outbound
This paper cites On the use of Gromov-Hausdorff Dis- tances for Shape Comparison.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport On the use of Gromov-Hausdorff Dis- tances for Shape Comparison
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4a1aec42-d2d8-4dee-9990-b27f2ed1a11a · outbound
This paper cites Gromov–Wasserstein distances and the metric approach to object matching.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gromov–Wasserstein distances and the metric approach to object matching
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f629f01b-3d59-4729-97f4-6f2b08c6b745 · outbound
This paper cites Geomstats: a python package for Riemannian geom- etry in machine learning.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Geomstats: a python package for Riemannian geom- etry in machine learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.268859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a1479c1d-85b2-44f3-8326-20844de462b6 · outbound
This paper cites Recent Advances in Optimal Transport for Machine Learning.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Recent Advances in Optimal Transport for Machine Learning
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 945e433f-5197-47c8-81cf-799f23d0f995 · outbound
This paper cites On a linear fused Gromov-Wasserstein distance for graph struc- tured data.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport On a linear fused Gromov-Wasserstein distance for graph struc- tured data
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.260564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ed2b5b3a-f827-4f34-9046-dbb299e69ed5 · outbound
This paper cites Color schemes to represent the orientation of anisotropic tissues from dif- fusion tensor data: application to white matter fiber tract mapping in the human brain.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Color schemes to represent the orientation of anisotropic tissues from dif- fusion tensor data: application to white matter fiber tract mapping in the human brain
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.252003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0b9f6845-3a19-4ee5-981c-44e80ad5fe34 · outbound
This paper cites Computational op- timal transport.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Computational op- timal transport
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.243571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f6e9e58b-8f85-4a59-8112-ba013f00106a · outbound
This paper cites Gromov-Wasserstein averaging of kernel and distance matrices.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Gromov-Wasserstein averaging of kernel and distance matrices
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.235521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9b895e28-c6ec-4462-8b71-3f5fc446a0d6 · outbound
This paper cites Sinkformers: Transformers with doubly stochastic attention.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sinkformers: Transformers with doubly stochastic attention
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.226702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7e50b28d-7bce-4468-9416-7637dc98eb25 · outbound
This paper cites Linearized optimal transport on manifolds.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Linearized optimal transport on manifolds
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.218369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e9f3c280-4005-4b1d-a34b-ee8eda31836d · outbound
This paper cites Srivastava and E.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Srivastava and E
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.209998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bc5f31d3-4227-4208-8e76-bc67723e594b · outbound
This paper cites Sex dimorphism in the white matter: fractional anisotropy and brain size.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sex dimorphism in the white matter: fractional anisotropy and brain size
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.201251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cec9fa4d-92bc-443b-a652-27a4a057e937 · outbound
This paper cites The human connectome project: a data acquisition perspective.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport The human connectome project: a data acquisition perspective
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.193341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3986cfcf-879d-454d-8d34-bb190d175ae9 · outbound
This paper cites Sex dif- ferences in white matter microstructure in the human brain predominantly reflect differences in sex hormone exposure.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Sex dif- ferences in white matter microstructure in the human brain predominantly reflect differences in sex hormone exposure
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.184528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation db2b9178-0faa-4312-894b-5495ad815a93 · outbound
This paper cites Fused Gromov- Wasserstein distance for structured objects: theoreti- cal foundations and mathematical properties, 2018.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Fused Gromov- Wasserstein distance for structured objects: theoreti- cal foundations and mathematical properties, 2018
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.175004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 393903fb-cda0-4991-af35-5d4fca2db005 · outbound
This paper cites Optimal transport for structured data with application on graphs, 2019.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport for structured data with application on graphs, 2019
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.165897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cd271e60-eaae-4491-8b2b-65b50dfd2a66 · outbound
This paper cites Optimal transport: old and new , volume 338.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Optimal transport: old and new , volume 338
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:02:14.073163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e0c2cbd-7610-434d-969e-ca0f896633b9 · outbound
This paper cites A linear optimal trans- portation framework for quantifying and visualizing variations in sets of images.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A linear optimal trans- portation framework for quantifying and visualizing variations in sets of images
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.151849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a45bba08-b10b-4345-a72d-39539342071a · outbound
This paper cites A Wasserstein-type distance for gaussian mixtures on vector bundles with applications to shape analysis.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport A Wasserstein-type distance for gaussian mixtures on vector bundles with applications to shape analysis
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.142793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 50c7a9ac-17c4-41c0-96ec-a4e9ca61f2e1 · outbound
This paper cites Quantifying differences and similarities in whole-brain white matter architecture using local connectome fingerprints.
Fused Gromov-Wasserstein Variance Decomposition with Linear Optimal Transport Quantifying differences and similarities in whole-brain white matter architecture using local connectome fingerprints
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T20:02:14.133525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.