Paper Citation Record · LEDGER

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2506.19224.

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

pith.paper-citation-record.v1
2506.19224 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:04:32.539100Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe03be35-9f5b-481c-86ef-c92dcc791879 · outbound

This paper cites Fast unfolding of communities in large networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Fast unfolding of communities in large networks

Reference 1

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Observation ca4b6e2f-d49b-46b2-9279-c3de99df458a · outbound

This paper cites Faster graph embeddings via coarsening.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Faster graph embeddings via coarsening

Reference 12

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Observation b7b7e73c-2c0c-4163-9217-69216b6e00bd · outbound

This paper cites Representation Learning on Graphs: Methods and Applications.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Representation Learning on Graphs: Methods and Applications

Reference 16

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Observation 03cf1d30-d7ea-4e79-9d75-8d2b67754c27 · outbound

This paper cites A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation

Reference 17

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Observation 822e99bf-c077-4b50-a7b6-93a44edeef98 · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Open graph benchmark: Datasets for machine learning on graphs

Reference 18

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Observation 7f7984ed-6936-42ca-93fb-c20ffe4e3499 · outbound

This paper cites Scaling up graph neu- ral networks via graph coarsening.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Scaling up graph neu- ral networks via graph coarsening

Reference 19

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Observation 485d8803-3ada-43f6-b695-8e0a73562fc4 · outbound

This paper cites Spectrum- preserving sparsification for visualization of big graphs.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Spectrum- preserving sparsification for visualization of big graphs

Reference 20

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Observation c78a3844-79b9-4c55-b41a-8b4af67e3724 · outbound

This paper cites Graph coarsening with preserved spectral properties.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph coarsening with preserved spectral properties

Reference 21

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Observation 3fda94a3-2dc0-4a90-ba01-3c4177e54839 · outbound

This paper cites Graph Condensation for Graph Neural Networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph Condensation for Graph Neural Networks

Reference 22

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Observation 5b336a7d-1d60-4f68-806c-9e75a1e72c00 · outbound

This paper cites Condensing graphs via one-step gradient matching.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Condensing graphs via one-step gradient matching

Reference 23

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Observation c392ae46-aa34-4816-b554-533d9007977d · outbound

This paper cites Analysis of multilevel graph partitioning.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Analysis of multilevel graph partitioning

Reference 24

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Observation 636043ee-c468-4b93-8fa9-3956e7f54539 · outbound

This paper cites The link prediction problem for social networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing The link prediction problem for social networks

Reference 27

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Observation b38bfcd6-7db5-4c75-85db-15597d86766b · outbound

This paper cites Graph reduction with spec- tral and cut guarantees.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph reduction with spec- tral and cut guarantees

Reference 29

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Observation 89d5d490-2626-4c8b-9c90-470bd88a4e10 · outbound

This paper cites Solu- tion of large-scale supply chain models using graph sam- pling & coarsening.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Solu- tion of large-scale supply chain models using graph sam- pling & coarsening

Reference 30

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Observation 39f976c4-f213-4fbd-8b24-bfad5af87dd1 · outbound

This paper cites Parallel graph partitioning for complex networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Parallel graph partitioning for complex networks

Reference 31

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Observation 7490aa8b-93fd-4e00-8170-44e3e64e5f42 · outbound

This paper cites TUDataset: A collection of benchmark datasets for learning with graphs.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing TUDataset: A collection of benchmark datasets for learning with graphs

Reference 32

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Observation 8d7559cc-d720-4d63-a98b-08f6301d1329 · outbound

This paper cites Graph pooling via coarsened graph info- max.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph pooling via coarsened graph info- max

Reference 33

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Observation feb0e498-ba5d-4021-9024-446a2911f754 · outbound

This paper cites An efficient multilevel scheme for coarsening large scale social networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing An efficient multilevel scheme for coarsening large scale social networks

Reference 34

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Observation 152dc4c0-c0e3-4d5d-96a4-b09d56b65e71 · outbound

This paper cites Maps of random walks on complex networks reveal community structure.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Maps of random walks on complex networks reveal community structure

Reference 35

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Observation 66d36649-0b03-44a3-9347-1a273b77bd54 · outbound

This paper cites Advanced coarsening schemes for graph partition- ing.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Advanced coarsening schemes for graph partition- ing

Reference 36

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Observation 07723e5b-7f01-4084-8872-d1227aaa4c31 · outbound

This paper cites Spline-fitting with a genetic algorithm: A method for developing classification structure- activity relationships.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Spline-fitting with a genetic algorithm: A method for developing classification structure- activity relationships

Reference 38

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Observation 7415031c-201b-48d4-8a12-d835ccdb474b · outbound

This paper cites Online graph dictionary learning.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Online graph dictionary learning

Reference 39

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Observation 9aff490d-81b5-4bc2-b8d3-682302244c66 · outbound

This paper cites Graph-based recommendation on social networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph-based recommendation on social networks

Reference 40

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Observation b867f848-f9cb-491a-b308-255b6493ce04 · outbound

This paper cites A study of graph spectra for comparing graphs and trees.Pat- tern Recognition, 41(9):2833–2841,.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing A study of graph spectra for comparing graphs and trees.Pat- tern Recognition, 41(9):2833–2841,

Reference 42

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Observation 2d08197e-4200-4cc6-8622-fd28d56e936d · outbound

This paper cites Granular ball sam- pling for noisy label classification or imbalanced classifi- cation.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Granular ball sam- pling for noisy label classification or imbalanced classifi- cation

Reference 43

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Observation 1cd145c8-0900-4492-b4c4-ef0b6d82c1f5 · outbound

This paper cites Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 44

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Observation b8a026e1-8275-4568-ad69-b4468d65cdbc · outbound

This paper cites An efficient spectral clus- tering algorithm based on granular-ball.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing An efficient spectral clus- tering algorithm based on granular-ball

Reference 45

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Observation 39a15043-7038-4b76-8476-f3fa055363d7 · outbound

This paper cites How Powerful are Graph Neural Networks?.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing How Powerful are Graph Neural Networks?

Reference 46

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Observation 5adee6c1-afad-4dff-8a8d-2af8ca41158d · outbound

This paper cites E-commerce search via content collaborative graph neural network.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing E-commerce search via content collaborative graph neural network

Reference 47

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Observation 6ebee2b5-56c5-4ccb-a7e0-1e2120e6ce0f · outbound

This paper cites The upper bound of the optimal number of clusters in fuzzy clustering.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing The upper bound of the optimal number of clusters in fuzzy clustering

Reference 48

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Observation 2f44992a-7295-4bf8-8122-39b1e064dc41 · outbound

This paper cites Improving the utility of the tox21 dataset by deep metadata annotations and constructing reusable benchmarked chemical reference signatures.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Improving the utility of the tox21 dataset by deep metadata annotations and constructing reusable benchmarked chemical reference signatures

Reference 1982

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.254662Z

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Observation 1875213a-3e81-4dbf-b89f-81c858285f81 · outbound

This paper cites Weighted graph cuts without eigenvectors a multilevel approach.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Weighted graph cuts without eigenvectors a multilevel approach

Reference 1991

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.230185Z

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Observation a9da950c-c501-49ec-8c97-75e221ccf256 · outbound

This paper cites Image segmenta- tion using multilevel graph cuts and graph development using fuzzy rule-based system.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Image segmenta- tion using multilevel graph cuts and graph development using fuzzy rule-based system

Reference 1995

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.106210Z

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Observation ae0eb631-50bf-4862-8c93-51ecab261af6 · outbound

This paper cites Dataset Condensation with Gradient Matching.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Dataset Condensation with Gradient Matching

Reference 2001

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Observation 1cabf165-8af3-41d7-9cf9-4d9f640b5999 · outbound

This paper cites Unlock the cognitive generalization of deep rein- forcement learning via granular ball representation.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Unlock the cognitive generalization of deep rein- forcement learning via granular ball representation

Reference 2003

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.070042Z

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Observation 003001ad-08d4-4b6d-a443-a99cb64daeb2 · outbound

This paper cites A simple yet effective baseline for non-attributed graph classification.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing A simple yet effective baseline for non-attributed graph classification

Reference 2005

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Observation 7b51a391-006b-4e3b-b4cf-d5dbdabcc8e5 · outbound

This paper cites A comprehensive study on large-scale graph training: Benchmarking and rethink- ing.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing A comprehensive study on large-scale graph training: Benchmarking and rethink- ing

Reference 2007

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.218189Z

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Observation 9314a32b-5059-4a6e-a032-435b60030582 · outbound

This paper cites Protein function predic- tion via graph kernels.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Protein function predic- tion via graph kernels

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.308780Z

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Observation 187797f9-ef41-4ea4-8418-11eac7fbb8cc · outbound

This paper cites Dataset Distillation.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Dataset Distillation

Reference 2010

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Observation fcfe1851-1c96-4ccf-b975-1f37be3d592a · outbound

This paper cites Featured graph coarsen- ing with similarity guarantees.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Featured graph coarsen- ing with similarity guarantees

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.093761Z

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Observation 950e04e1-4a2d-448f-a280-6593e2d7ec9f · outbound

This paper cites xgcn: An extreme graph con- volutional network for large-scale social link prediction.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing xgcn: An extreme graph con- volutional network for large-scale social link prediction

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:40.970675Z

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Observation 6b3187b3-2e64-4639-81ab-48dba1c962e0 · outbound

This paper cites Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

Reference 2017

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Observation 02c728ca-9404-4976-81c6-15d52aee2255 · outbound

This paper cites Graph Coarsening with Neural Networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph Coarsening with Neural Networks

Reference 2018

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Observation 80c9f4f3-1246-4549-aaba-cc3a6b96314c · outbound

This paper cites Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Structure-activity relationship of mutagenic aromatic and heteroaromatic nitro compounds

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.242549Z

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Observation d0ba3813-b171-4209-b4d3-8c18cd12964c · outbound

This paper cites Exgc: Bridging efficiency and explainabil- ity in graph condensation.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Exgc: Bridging efficiency and explainabil- ity in graph condensation

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.194358Z

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Observation cf618c69-662f-4061-8f19-fc2c6567d0e8 · outbound

This paper cites Graph coarsening: from scientific computing to machine learning.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Graph coarsening: from scientific computing to machine learning

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.294372Z

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Observation 1cf3f869-9aa8-4324-9243-2a769652db1a · outbound

This paper cites A gromov–wasserstein geometric view of spectrum-preserving graph coarsening.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing A gromov–wasserstein geometric view of spectrum-preserving graph coarsening

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.280074Z

Source-reported events for the cited work

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Observation 3fbd460f-f534-453d-bf66-837679023f49 · outbound

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GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Unresolved cited work

Reference 2023

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Observation 95adb64d-6a44-4d73-aa23-86edc1b47f1c · outbound

This paper cites Protein interface prediction using graph convolutional networks.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing Protein interface prediction using graph convolutional networks

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:40:41.182184Z

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Pith citing papers

Observation 14936ecb-e1cb-4810-bf8d-56529d91efd1 · inbound

3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis cites this paper.

3DGBGS: 3D Granular Ball Gaussian Splatting for Compact Novel View Synthesis GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing

Reference 53

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