Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification | Paper Citation Record

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This paper cites Generalizing graph neural networks on out-of-distribution graphs.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Generalizing graph neural networks on out-of-distribution graphs

Reference 1

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This paper cites Arbitrary- order proximity preserved network embedding.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Arbitrary- order proximity preserved network embedding

Reference 2

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This paper cites Parallel and distributed graph neural networks: An in-depth concurrency analysis.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Parallel and distributed graph neural networks: An in-depth concurrency analysis

Reference 3

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This paper cites Es-gnn: Generalizing graph neural networks beyond homophily with edge splitting.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Es-gnn: Generalizing graph neural networks beyond homophily with edge splitting

Reference 4

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This paper cites A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges

Reference 5

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This paper cites Improving social network embedding via new second-order continuous graph neural networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Improving social network embedding via new second-order continuous graph neural networks

Reference 6

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This paper cites Non-euclidean mixture model for social network embedding.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Non-euclidean mixture model for social network embedding

Reference 7

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This paper cites Lgb: Language model and graph neural network-driven social bot detection.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Lgb: Language model and graph neural network-driven social bot detection

Reference 8

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This paper cites Efficient correlated subgraph searches for ai-powered drug discovery.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Efficient correlated subgraph searches for ai-powered drug discovery

Reference 9

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This paper cites Graph neural networks for recommender system.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph neural networks for recommender system

Reference 10

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This paper cites Noise- enhanced graph contrastive learning for multimodal recommendation systems.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Noise- enhanced graph contrastive learning for multimodal recommendation systems

Reference 11

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This paper cites Improved diversity-promoting collaborative metric learning for recommendation.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Improved diversity-promoting collaborative metric learning for recommendation

Reference 12

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This paper cites A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal

Reference 13

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This paper cites Improved deep embedded clustering with local structure preservation.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Improved deep embedded clustering with local structure preservation

Reference 14

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This paper cites A comprehensive survey on graph neural networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification A comprehensive survey on graph neural networks

Reference 15

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This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Spectral Networks and Locally Connected Networks on Graphs

Reference 16

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This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Semi-Supervised Classification with Graph Convolutional Networks

Reference 17

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This paper cites Simplifying graph convolutional networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Simplifying graph convolutional networks

Reference 18

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This paper cites Structural deep clustering network.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Structural deep clustering network

Reference 19

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This paper cites Cohesion: Composite graph convolutional network with dual-stage fusion for multimodal recommendation.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Cohesion: Composite graph convolutional network with dual-stage fusion for multimodal recommendation

Reference 20

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This paper cites Irregular traffic time series forecasting based on asyn- chronous spatio-temporal graph convolutional networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Irregular traffic time series forecasting based on asyn- chronous spatio-temporal graph convolutional networks

Reference 21

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This paper cites Inductive representation learning on large graphs.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Inductive representation learning on large graphs

Reference 22

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This paper cites Stochastic training of graph convolutional networks with variance reduction.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Stochastic training of graph convolutional networks with variance reduction

Reference 23

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This paper cites Fastgcn: Fast learning with graph convo- lutional networks via importance sampling.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Fastgcn: Fast learning with graph convo- lutional networks via importance sampling

Reference 24

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This paper cites Adaptive sampling towards fast graph representation learning.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Adaptive sampling towards fast graph representation learning

Reference 25

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This paper cites Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks

Reference 26

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This paper cites Graph- saint: Graph sampling based inductive learning method.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph- saint: Graph sampling based inductive learning method

Reference 27

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This paper cites Graph Condensation for Graph Neural Networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph Condensation for Graph Neural Networks

Reference 28

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

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Scaling up graph neural networks via graph coarsening

Reference 29

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

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph pooling via coarsened graph info- max

Reference 30

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This paper cites Graph coarsening via supervised granular-ball for scalable graph neural network training.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph coarsening via supervised granular-ball for scalable graph neural network training

Reference 31

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This paper cites Gbgc: Efficient and adaptive graph coarsening via granular-ball computing.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Gbgc: Efficient and adaptive graph coarsening via granular-ball computing

Reference 32

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This paper cites A fast and high quality multilevel scheme for partitioning irregular graphs.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification A fast and high quality multilevel scheme for partitioning irregular graphs

Reference 33

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This paper cites Graph convolutional neural networks for web-scale rec- ommender systems.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph convolutional neural networks for web-scale rec- ommender systems

Reference 34

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This paper cites Featured graph coarsening with similarity guarantees.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Featured graph coarsening with similarity guarantees

Reference 35

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

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Condensing graphs via one-step gradient matching

Reference 36

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This paper cites Graph coarsening via convolution matching for scalable graph neural network training.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph coarsening via convolution matching for scalable graph neural network training

Reference 37

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This paper cites Topological structure in visual perception.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Topological structure in visual perception

Reference 38

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

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Granular-ball computing: an efficient, robust, and interpretable adaptive multi-granularity representation and computation method

Reference 39

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This paper cites Ballkk-means: Fast adaptive clustering with no bounds.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Ballkk-means: Fast adaptive clustering with no bounds

Reference 40

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This paper cites Gbrs: A unified granular-ball learning model of pawlak rough set and neighborhood rough set.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Gbrs: A unified granular-ball learning model of pawlak rough set and neighborhood rough set

Reference 41

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This paper cites Gbsvm: an efficient and robust support vector machine framework via granular- ball computing.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Gbsvm: an efficient and robust support vector machine framework via granular- ball computing

Reference 42

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This paper cites Unlock the cognitive generalization of deep reinforcement learning via granular ball representation.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Unlock the cognitive generalization of deep reinforcement learning via granular ball representation

Reference 43

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This paper cites Aw-gbgae: an adaptive weighted graph autoencoder based on granular-balls for general data clustering.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Aw-gbgae: an adaptive weighted graph autoencoder based on granular-balls for general data clustering

Reference 44

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This paper cites Efficient quantum approxi- mate knn algorithm via granular-ball computing.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Efficient quantum approxi- mate knn algorithm via granular-ball computing

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.293879Z

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This paper cites Granular-ball-induced mul- tiple kernel k-means.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Granular-ball-induced mul- tiple kernel k-means

Reference 46

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Observation c8274c9f-ab7e-43e3-9be4-3613061c28b7 · outbound

This paper cites An adaptive multi-granularity graph representation of image via granular- ball computing.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification An adaptive multi-granularity graph representation of image via granular- ball computing

Reference 47

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This paper cites Rectified linear units improve restricted boltz- mann machines.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Rectified linear units improve restricted boltz- mann machines

Reference 48

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This paper cites A new internal index based on density core for clustering validation.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification A new internal index based on density core for clustering validation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.337884Z

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Observation 9055375d-0886-473b-9b23-ef5fd8503fa3 · outbound

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

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification The upper bound of the optimal number of clusters in fuzzy clustering

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.151110Z

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Observation c186d4ff-9e65-4c2f-b9e4-b57b88a75612 · outbound

This paper cites Graph Coarsening with Neural Networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph Coarsening with Neural Networks

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:43:31.971769Z

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Observation 73a44de9-8b65-4fd5-b07d-ebbca7319b34 · outbound

This paper cites Relaxation-based coarsening and multiscale graph organization.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Relaxation-based coarsening and multiscale graph organization

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.400401Z

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Observation 6e6c426b-f4a5-4265-a1a8-614b59e0e2a6 · outbound

This paper cites Graph reduction with spectral and cut guarantees.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph reduction with spectral and cut guarantees

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.170006Z

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Observation 06eb987e-5e9d-4038-b726-4cad5eff31a2 · outbound

This paper cites Graph Attention Networks.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph Attention Networks

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-14T00:43:31.998370Z

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Observation f8731478-2b6a-4e1d-b66d-d2c2f5eb3d9d · outbound

This paper cites Graph coarsening with preserved spectral properties.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification Graph coarsening with preserved spectral properties

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.446393Z

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Observation 764bb277-b1b1-45cd-96a1-cdec2a267564 · outbound

This paper cites A gromov-wasserstein geo- metric view of spectrum-preserving graph coarsening.

Efficient and Scalable Granular-ball Graph Coarsening Method for Large-scale Graph Node Classification A gromov-wasserstein geo- metric view of spectrum-preserving graph coarsening

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T00:43:32.217326Z

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