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Paper Citation Record · LEDGER

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization

As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.27767.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.27767 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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53 of 53 outbound references displayed

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Outbound references

Observation f9721aa0-c98c-4ef4-abf3-5a4c36e9ac20 · outbound

This paper cites Kipf and Max Welling.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Kipf and Max Welling

Reference 1

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Observation 621146b3-cc47-4adb-a358-39ce7ae3a314 · outbound

This paper cites Inductive representation learning on large graphs.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Inductive representation learning on large graphs

Reference 2

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Observation 49e12172-a298-4295-9302-a9784f9ca4ae · outbound

This paper cites From local structures to size generalization in graph neural networks.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization From local structures to size generalization in graph neural networks

Reference 3

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Observation 94a18a54-afdd-4d2c-901a-ce744dff72d3 · outbound

This paper cites Graphon neural networks and the trans- ferability of graph neural networks.Advances in Neural Information Processing Systems, 33: 1702–1712, 2020.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graphon neural networks and the trans- ferability of graph neural networks.Advances in Neural Information Processing Systems, 33: 1702–1712, 2020

Reference 4

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Observation 7ae78782-b450-424d-92b5-5a9aac3af211 · outbound

This paper cites The structure and function of complex networks.SIAM Review, 45(2): 167–256, 2003.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization The structure and function of complex networks.SIAM Review, 45(2): 167–256, 2003

Reference 5

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Observation 5bd77990-75d0-41ab-ae74-e55ffedf6776 · outbound

This paper cites Graph Neural Networks Are Not Continuous Across Graph Resolutions.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph Neural Networks Are Not Continuous Across Graph Resolutions

Reference 6

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Observation 47ed87e3-b655-4332-8004-9ebfd1011b85 · outbound

This paper cites Graph reduction with spectral and cut guarantees.Journal of Machine Learning Research, 20(116):1–42, 2019.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph reduction with spectral and cut guarantees.Journal of Machine Learning Research, 20(116):1–42, 2019

Reference 7

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Observation e8ed0024-87d7-48fa-adaa-9611aa3784e4 · outbound

This paper cites Graph coarsening: from scientific computing to machine learning.SeMA Journal, 79(1):187–223, 2022.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph coarsening: from scientific computing to machine learning.SeMA Journal, 79(1):187–223, 2022

Reference 8

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Observation 985a3f3a-d549-40a4-8e90-9dc5918d91d3 · outbound

This paper cites Graph coarsening with message-passing guarantees.Ad- vances in Neural Information Processing Systems, 37:114902–114927, 2024.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph coarsening with message-passing guarantees.Ad- vances in Neural Information Processing Systems, 37:114902–114927, 2024

Reference 9

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Observation 3ba9aec7-23d8-49e5-9cd9-b9390e222e21 · outbound

This paper cites Self-similarity of complex networks and hidden metric spaces.Physical Review Letters, 100(7):078701, 2008.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Self-similarity of complex networks and hidden metric spaces.Physical Review Letters, 100(7):078701, 2008

Reference 10

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Observation fb024073-da9f-459c-b27e-8bbb83b9074c · outbound

This paper cites Network geometry.Nature Reviews Physics, 3(2):114–135, 2021.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Network geometry.Nature Reviews Physics, 3(2):114–135, 2021

Reference 11

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Observation 3cfe2fce-6a3d-442d-b300-b2e87c1e7267 · outbound

This paper cites Hyperbolic geometry of complex networks.Physical Review E—Statistical, Nonlinear , and Soft Matter Physics, 82(3):036106, 2010.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Hyperbolic geometry of complex networks.Physical Review E—Statistical, Nonlinear , and Soft Matter Physics, 82(3):036106, 2010

Reference 12

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Observation 71dcb843-3368-43e4-b0cb-b448e643d76b · outbound

This paper cites Cambridge University Press, 2022.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Cambridge University Press, 2022

Reference 13

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Observation 8ec9c9bb-e008-4920-a108-70980d073cbb · outbound

This paper cites Multiscale unfolding of real networks by geometric renormalization.Nature Physics, 14(6):583–589, 2018.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Multiscale unfolding of real networks by geometric renormalization.Nature Physics, 14(6):583–589, 2018

Reference 14

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Observation 6baaffa8-5f83-41e1-b82f-ececb7589077 · outbound

This paper cites Similarity of neural network representations revisited.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Similarity of neural network representations revisited

Reference 15

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Observation 98c7a10e-7067-4f06-ab83-8a4b8ed92341 · outbound

This paper cites Ángeles Serrano, and Marián Boguñá.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Ángeles Serrano, and Marián Boguñá

Reference 16

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Observation 5be63e6c-359d-4d19-8fb2-0a31a3bcb64b · outbound

This paper cites Hierarchical graph representation learning with differentiable pooling.Advances in neural information processing systems, 31, 2018.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Hierarchical graph representation learning with differentiable pooling.Advances in neural information processing systems, 31, 2018

Reference 17

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Observation 9e7b4d2f-3d0d-4be6-beb4-e7f2200fa01c · outbound

This paper cites Graph u-nets.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph u-nets

Reference 18

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Observation c88a1942-fec7-4023-8394-23125e9a8a51 · outbound

This paper cites Understanding pooling in graph neural networks.IEEE transactions on neural networks and learning systems, 35(2):2708–2718, 2022.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Understanding pooling in graph neural networks.IEEE transactions on neural networks and learning systems, 35(2):2708–2718, 2022

Reference 19

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Observation 4d6dc0d8-3a8b-4523-be9e-f19e65d6a472 · outbound

This paper cites Geometry-aware edge pooling for graph neural networks.Advances in Neural Information Processing Systems, 38: 157770–157808, 2026.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Geometry-aware edge pooling for graph neural networks.Advances in Neural Information Processing Systems, 38: 157770–157808, 2026

Reference 20

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Observation 35384f2f-a0fa-4de1-b406-0e7544ea6207 · outbound

This paper cites Graph pooling via ricci flow.Transactions on Machine Learning Research, 2024.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph pooling via ricci flow.Transactions on Machine Learning Research, 2024

Reference 21

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Observation 2db517bb-2296-41fa-9c75-7ba35f719d21 · outbound

This paper cites Scaling up graph neural networks via graph coarsening.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Scaling up graph neural networks via graph coarsening

Reference 22

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Observation 0cc40695-df57-4095-ba69-5d8fbece646b · outbound

This paper cites Network renormalization.Nature Reviews Physics, 7(4):203–219, 2025.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Network renormalization.Nature Reviews Physics, 7(4):203–219, 2025

Reference 23

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Observation 54d1af41-5412-4f57-bd92-002353e83dc5 · outbound

This paper cites Self-similarity of complex networks.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Self-similarity of complex networks

Reference 24

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Observation eef915c3-ea72-4cdc-aa37-5c45ee0d0ce9 · outbound

This paper cites Geometric renormalization unravels self-similarity of the multiscale human connectome.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Geometric renormalization unravels self-similarity of the multiscale human connectome

Reference 25

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Observation 60c16cf4-16d2-428a-a44c-a2695d81d621 · outbound

This paper cites Geometric renormalization of weighted networks.Communications Physics, 7(1):97, 2024.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Geometric renormalization of weighted networks.Communications Physics, 7(1):97, 2024

Reference 26

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Observation d858c78f-97df-4588-aec1-41b01a457b3f · outbound

This paper cites Laplacian renormaliza- tion group for heterogeneous networks.Nature Physics, 19(3):445–450, 2023.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Laplacian renormaliza- tion group for heterogeneous networks.Nature Physics, 19(3):445–450, 2023

Reference 27

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Observation a6c8a8a8-52a9-4cfc-8fe0-9d4ef5bb6367 · outbound

This paper cites Higher-order laplacian renormalization.Nature Physics, 21(4):661–668, 2025.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Higher-order laplacian renormalization.Nature Physics, 21(4):661–668, 2025

Reference 28

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Observation 1282b0b9-18cf-429a-af62-26f5c72c488e · outbound

This paper cites Multiscale network renormalization: Scale-invariance without geometry.Physical Review Research, 5(4):043101, 2023.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Multiscale network renormalization: Scale-invariance without geometry.Physical Review Research, 5(4):043101, 2023

Reference 29

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Observation f4327d55-ea55-46bb-ac2b-5679521fd8b7 · outbound

This paper cites A metadata-driven approach to understand graph neural networks.Advances in Neural Information Processing Systems, 36:15320–15340, 2023.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization A metadata-driven approach to understand graph neural networks.Advances in Neural Information Processing Systems, 36:15320–15340, 2023

Reference 30

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Observation e6cee50b-d093-4169-a714-124ae6d49acd · outbound

This paper cites Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Performance Heterogeneity in Graph Neural Networks: Lessons for Architecture Design and Preprocessing

Reference 31

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Observation f4c767cf-a7cb-41aa-b608-3be64dd2b883 · outbound

This paper cites Transferability properties of graph neural networks.IEEE Transactions on Signal Processing, 71:3474–3489, 2023.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Transferability properties of graph neural networks.IEEE Transactions on Signal Processing, 71:3474–3489, 2023

Reference 32

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Observation 4f77386d-7a2a-481c-8aac-4f33faeaa473 · outbound

This paper cites Mercator: uncovering faithful hyperbolic embeddings of complex networks.New Journal of Physics, 21 (12):123033, 2019.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Mercator: uncovering faithful hyperbolic embeddings of complex networks.New Journal of Physics, 21 (12):123033, 2019

Reference 33

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Observation 3f09dc18-6995-40e1-b62a-860fb7e6e0f9 · outbound

This paper cites The d-mercator method for the multidimensional hyperbolic embedding of real networks.Nature Communica- tions, 14(1):7585, 2023.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization The d-mercator method for the multidimensional hyperbolic embedding of real networks.Nature Communica- tions, 14(1):7585, 2023

Reference 34

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Observation 4d474a2c-4e9f-4d9b-988e-8c27bd5d8f4e · outbound

This paper cites Ángeles Serrano.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Ángeles Serrano

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cef1f549-752a-4214-af3b-eef499f2c6da · outbound

This paper cites Collective classification in network data.AI Magazine, 29(3):93–106, 2008.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Collective classification in network data.AI Magazine, 29(3):93–106, 2008

Reference 36

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source=pdf_text observed=2026-08-01T01:52:01.477201Z digest=sha256:8feafff55b1ea1da7822a01ac28fe07f8282b07d87d2924f312f8e7f2af30c2e

Observation 91cae729-8e12-49b7-b6b6-601b77d23af1 · outbound

This paper cites Revisiting semi-supervised learning with graph embeddings.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Revisiting semi-supervised learning with graph embeddings

Reference 37

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Observation c080f884-98f2-4c50-a7a8-c53487ed7999 · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Pitfalls of Graph Neural Network Evaluation

Reference 38

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Observation 4a4c427c-fea8-447d-8dba-434c0aae292a · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 39

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Observation 9c9d3386-3cab-4498-9beb-21e526d50a53 · outbound

This paper cites GraphSAINT: Graph sampling based inductive learning method.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization GraphSAINT: Graph sampling based inductive learning method

Reference 40

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Observation 16b8eeed-7a9c-4696-bc43-ef7f31fcda58 · outbound

This paper cites Scale-free networks well done.Physical Review Research, 1(3):033034, 2019.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Scale-free networks well done.Physical Review Research, 1(3):033034, 2019

Reference 41

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Observation 3a160ccd-abf5-4df9-8bc4-74b2907de1e0 · outbound

This paper cites Graph attention networks.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Graph attention networks

Reference 42

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source=pdf_text observed=2026-08-01T01:52:01.504828Z digest=sha256:c0328e7938006d0caaa01585a2890a4d3d6968c0cc7ae828e67d4c8e20c441f2

Observation ca9f527a-6969-4f11-88c1-3956c72c4f0f · outbound

This paper cites an unresolved cited work.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-01T01:52:01.514251Z digest=sha256:d7d58e43a201d3b9f5134757e20f539b491862b3880dd34393f6155b5f0f53b2

Observation c42a4e2a-40db-4163-80d6-53f5c410bdea · outbound

This paper cites Algorithms for learning kernels based on centered alignment.The Journal of Machine Learning Research, 13:795–828, 2012.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Algorithms for learning kernels based on centered alignment.The Journal of Machine Learning Research, 13:795–828, 2012

Reference 44

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source=pdf_text observed=2026-08-01T01:52:01.518990Z digest=sha256:24870f139370a66c62399647cc113736a0f44c4f50bec8ce8a6ee9846b4398ab

Observation 05104a48-95d2-412e-9829-947b25c8341d · outbound

This paper cites On kernel-target alignment.Advances in neural information processing systems, 14, 2001.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization On kernel-target alignment.Advances in neural information processing systems, 14, 2001

Reference 45

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Observation ffcbe010-b0b8-43a2-9d07-905f6045d6c6 · outbound

This paper cites Grounding representation similarity through statistical testing.Advances in Neural Information Processing Systems, 34:1556–1568,.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Grounding representation similarity through statistical testing.Advances in Neural Information Processing Systems, 34:1556–1568,

Reference 46

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Observation 9d3388dd-9652-4b78-bbd5-5e753c3cf740 · outbound

This paper cites Generalized shape metrics on neural representations.Advances in neural information processing systems, 34:4738–4750,.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Generalized shape metrics on neural representations.Advances in neural information processing systems, 34:4738–4750,

Reference 47

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source=pdf_text observed=2026-08-01T01:52:01.532490Z digest=sha256:b8d7d02d97105b264cf22bd9bdc15a7a1e41ce44217373b96e71e3be36aac4e3

Observation 3142721b-bf0d-4a3c-a44c-6efb9fbb33fc · outbound

This paper cites Spectral gap of random hyperbolic graphs and related param- eters.The Annals of Applied Probability, 28(2):941 – 989, 2018.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Spectral gap of random hyperbolic graphs and related param- eters.The Annals of Applied Probability, 28(2):941 – 989, 2018

Reference 48

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Observation f70e7eae-d04e-43c0-b294-8d1e7d86ef41 · outbound

This paper cites Feature-aware ultra-low dimensional reduction of real networks.npj Complexity, 1(1):13, 2024.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Feature-aware ultra-low dimensional reduction of real networks.npj Complexity, 1(1):13, 2024

Reference 49

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Observation 7545fa6e-0afd-4e0f-9070-37aa8fc20b70 · outbound

This paper cites Án- geles Serrano.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Án- geles Serrano

Reference 50

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source=pdf_text observed=2026-08-01T01:52:01.546004Z digest=sha256:d055bbebc810e3d0bedfaaee44b1bbdc1caf274440f12831660ce5e6c5068226

Observation 58982095-91de-49a6-9da8-1bd70a77c86f · outbound

This paper cites Detecting the ultra low dimensionality of real networks.Nature Communications, 13(1):6096, 2022.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Detecting the ultra low dimensionality of real networks.Nature Communications, 13(1):6096, 2022

Reference 51

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Observation 449d50f0-264c-49a1-bc0b-ecaf89047c09 · outbound

This paper cites Machine learning meets complex networks via coalescent embedding in the hyperbolic space.Nature Communications, 8(1):1615, 2017.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Machine learning meets complex networks via coalescent embedding in the hyperbolic space.Nature Communications, 8(1):1615, 2017

Reference 52

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no resolver link, observed 2026-08-01T01:52:01.555713Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:52:01.555713Z digest=sha256:665953f6cbc723e90943f10dc3bd0816905a0bea40a8eed9a3d286002c2899a1

Observation e2253142-88b3-436e-a357-3d9a1009cc44 · outbound

This paper cites an unresolved cited work.

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization Unresolved cited work

Reference 2018

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Pith citing papers

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