Paper Citation Record · LEDGER

A graph neural network based on feature network for identifying influential nodes

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.01278.

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

pith.paper-citation-record.v1
2508.01278 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:49:02.024730Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation d51b2dcc-82d3-4713-97ae-f8d95539d356 · outbound

This paper cites Graph neural networks in recommender systems: A survey,.

A graph neural network based on feature network for identifying influential nodes Graph neural networks in recommender systems: A survey,

Reference 1

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Observation a8603bac-54a5-4594-ab5e-41170d1700b6 · outbound

This paper cites A novel method for analog fault diagnosis based on neural networks and genetic algorithms,.

A graph neural network based on feature network for identifying influential nodes A novel method for analog fault diagnosis based on neural networks and genetic algorithms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:03.480974Z

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Observation 903bf6c7-e276-4988-a999-a7a50c996151 · outbound

This paper cites Table structure recognition and form parsing by end-to-end object detection and relation parsing,.

A graph neural network based on feature network for identifying influential nodes Table structure recognition and form parsing by end-to-end object detection and relation parsing,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:03.454077Z

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Observation f53daf8d-10ee-4a91-ab05-8f99c2706e93 · outbound

This paper cites Identifying spreading influence nodes for social networks,.

A graph neural network based on feature network for identifying influential nodes Identifying spreading influence nodes for social networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:03.417125Z

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Observation 3f5b9c95-b97d-49bf-aaf9-58f7809dec4d · outbound

This paper cites Identifying critical nodes in complex networks via graph convolutional networks,.

A graph neural network based on feature network for identifying influential nodes Identifying critical nodes in complex networks via graph convolutional networks,

Reference 5

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Observation 9a69a882-2101-4440-bfe9-d60f9783ae0a · outbound

This paper cites Infgcn: Identifying influential nodes in complex networks with graph convolutional networks,.

A graph neural network based on feature network for identifying influential nodes Infgcn: Identifying influential nodes in complex networks with graph convolutional networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:03.178106Z

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Observation 1643bbb6-c05b-44cb-988f-bb233921245b · outbound

This paper cites A new approach for evaluating node importance in complex networks via deep learning methods,.

A graph neural network based on feature network for identifying influential nodes A new approach for evaluating node importance in complex networks via deep learning methods,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:03.043296Z

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Observation 51615ac2-591d-420d-86ed-a8f3f8220475 · outbound

This paper cites Centrality indices,.

A graph neural network based on feature network for identifying influential nodes Centrality indices,

Reference 8

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Observation 1fee61ef-0b5c-4bc2-b0aa-12f93c49b231 · outbound

This paper cites A model of internet topology using ¡i¿k¡/i¿-shell decomposition,.

A graph neural network based on feature network for identifying influential nodes A model of internet topology using ¡i¿k¡/i¿-shell decomposition,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.944031Z

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Observation 242ad72b-3386-4a4f-ac66-86e19c5c3ad6 · outbound

This paper cites Support vector machines,.

A graph neural network based on feature network for identifying influential nodes Support vector machines,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.919944Z

Source-reported events for the cited work

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Observation 810d015a-058a-4fe7-adab-b81e9f5e927d · outbound

This paper cites Logistic regression,.

A graph neural network based on feature network for identifying influential nodes Logistic regression,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.893824Z

Source-reported events for the cited work

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Observation 638cccf5-0b33-47e3-a3e4-b0e82159e3e2 · outbound

This paper cites Graph neural networks: A review of methods and applications,.

A graph neural network based on feature network for identifying influential nodes Graph neural networks: A review of methods and applications,

Reference 12

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Observation 23df52aa-59d7-41ea-a8dc-0c77722380b8 · outbound

This paper cites Simple and deep graph convolutional networks,.

A graph neural network based on feature network for identifying influential nodes Simple and deep graph convolutional networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.853431Z

Source-reported events for the cited work

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Observation 59a1b3b4-10ba-4cb4-8788-5b1c2f46cc6a · outbound

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

A graph neural network based on feature network for identifying influential nodes Semi-Supervised Classification with Graph Convolutional Networks

Reference 14

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This paper cites Mathematical modeling of diseases: Susceptible-infected-recovered (sir) model,.

A graph neural network based on feature network for identifying influential nodes Mathematical modeling of diseases: Susceptible-infected-recovered (sir) model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.831140Z

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Observation c7f6c204-4adf-4d2a-ad7c-e70e6e19901b · outbound

This paper cites Ranking of closeness centrality for large-scale social networks,.

A graph neural network based on feature network for identifying influential nodes Ranking of closeness centrality for large-scale social networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.809181Z

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Observation 866af2ba-0c20-45ab-a0be-2dd30c71af1f · outbound

This paper cites Betweenness centrality in large complex networks,.

A graph neural network based on feature network for identifying influential nodes Betweenness centrality in large complex networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.790036Z

Source-reported events for the cited work

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Observation ce836e6d-31af-496b-8aac-760426e57152 · outbound

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A graph neural network based on feature network for identifying influential nodes Unresolved cited work

Reference 18

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Observation f76b38d9-4dd1-48bf-8cdf-df4986f07b90 · outbound

This paper cites Eigenvector-centrality—a node-centrality?.

A graph neural network based on feature network for identifying influential nodes Eigenvector-centrality—a node-centrality?

Reference 19

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Observation df3d47d8-3ea1-419c-9c5a-88f082fcdbbf · outbound

This paper cites Graph convolutional networks: a comprehensive review,.

A graph neural network based on feature network for identifying influential nodes Graph convolutional networks: a comprehensive review,

Reference 20

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Observation 90062f24-8b3e-42b0-8df6-b31fd0686b40 · outbound

This paper cites Fg-rs: Capture user fine-grained preferences through attribute information for recommender systems,.

A graph neural network based on feature network for identifying influential nodes Fg-rs: Capture user fine-grained preferences through attribute information for recommender systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.711915Z

Source-reported events for the cited work

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Observation 32ab230c-7af5-456f-8721-e0abef14110c · outbound

This paper cites Differential evolution based on network structure for feature selection,.

A graph neural network based on feature network for identifying influential nodes Differential evolution based on network structure for feature selection,

Reference 22

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Observation 855cad10-a9a6-42ed-865d-b41245bbfa06 · outbound

This paper cites A multi-level damage classification technique of aircraft plate structures using lamb wave- based deep transfer learning network,.

A graph neural network based on feature network for identifying influential nodes A multi-level damage classification technique of aircraft plate structures using lamb wave- based deep transfer learning network,

Reference 23

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Observation b3b3a386-de2e-4c44-a589-7357342d8593 · outbound

This paper cites A novel flexible sensor for double- parameter decoupling measurement of temperature and pressure with high sensitivity and wide range,.

A graph neural network based on feature network for identifying influential nodes A novel flexible sensor for double- parameter decoupling measurement of temperature and pressure with high sensitivity and wide range,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.645969Z

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Observation 1c82bab7-2387-42d0-8801-4ad9cad1e7f1 · outbound

This paper cites On Node Features for Graph Neural Networks.

A graph neural network based on feature network for identifying influential nodes On Node Features for Graph Neural Networks

Reference 25

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Observation 5d765d6e-3e9f-456c-a33e-99b66c0c12c0 · outbound

This paper cites Comparative analysis of centrality measures for identifying critical nodes in complex networks,.

A graph neural network based on feature network for identifying influential nodes Comparative analysis of centrality measures for identifying critical nodes in complex networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.623603Z

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Observation b865d1e0-e026-428d-8bf3-8bcc9bd0b212 · outbound

This paper cites Ranking nodes in complex networks based on local structure and improving closeness centrality,.

A graph neural network based on feature network for identifying influential nodes Ranking nodes in complex networks based on local structure and improving closeness centrality,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.602048Z

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This paper cites Acquiring academic literacy: a case of first-year extended degree programme students,.

A graph neural network based on feature network for identifying influential nodes Acquiring academic literacy: a case of first-year extended degree programme students,

Reference 28

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Observation f570b2dc-45ce-41b3-9562-4b54f4921345 · outbound

This paper cites Using accumulated degree-days to estimate the postmortem interval from decomposed human remains,.

A graph neural network based on feature network for identifying influential nodes Using accumulated degree-days to estimate the postmortem interval from decomposed human remains,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.558499Z

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Observation 7dd3bb06-fe29-415e-8731-b2073d7b242b · outbound

This paper cites A robust two-stage algorithm for local community detection,.

A graph neural network based on feature network for identifying influential nodes A robust two-stage algorithm for local community detection,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.532800Z

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Observation 722d4ebc-5add-4df9-a99a-c19f19342f86 · outbound

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A graph neural network based on feature network for identifying influential nodes Overlapping community detection using neighborhood-inflated seed expansion,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.512437Z

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Observation f28ef2c0-43b8-4193-901e-ca57eb7863d0 · outbound

This paper cites Local clustering coeffi- cient in generalized preferential attachment models,.

A graph neural network based on feature network for identifying influential nodes Local clustering coeffi- cient in generalized preferential attachment models,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.494229Z

Source-reported events for the cited work

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Observation 98f690c9-506e-4aba-ab5c-a01a3cf6811f · outbound

This paper cites Community detection in complex networks by detecting and expanding core nodes through ex- tended local similarity of nodes,.

A graph neural network based on feature network for identifying influential nodes Community detection in complex networks by detecting and expanding core nodes through ex- tended local similarity of nodes,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.470377Z

Source-reported events for the cited work

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Observation 6b8b80b3-edb1-4970-b0b5-221c194fe78b · outbound

This paper cites Node classification with graph neural network based centrality measures and feature selection,.

A graph neural network based on feature network for identifying influential nodes Node classification with graph neural network based centrality measures and feature selection,

Reference 34

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This paper cites Spearman correlation coefficients, differ- ences between,.

A graph neural network based on feature network for identifying influential nodes Spearman correlation coefficients, differ- ences between,

Reference 35

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Observation b2e52285-e35c-49c8-9206-d5c0e808ff3c · outbound

This paper cites Similarity detection method of science fiction painting based on multi-strategy improved sparrow search algorithm and gaussian pyramid,.

A graph neural network based on feature network for identifying influential nodes Similarity detection method of science fiction painting based on multi-strategy improved sparrow search algorithm and gaussian pyramid,

Reference 36

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Observation 31543e44-4680-44a7-9692-15a27e0e3a35 · outbound

This paper cites A sir model assumption for the spread of covid-19 in different communities,.

A graph neural network based on feature network for identifying influential nodes A sir model assumption for the spread of covid-19 in different communities,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.309970Z

Source-reported events for the cited work

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Observation ebd828ab-788b-4bf5-9a98-06370f61c331 · outbound

This paper cites Sir-im: Sir rumor spreading model with influence mechanism in social networks,.

A graph neural network based on feature network for identifying influential nodes Sir-im: Sir rumor spreading model with influence mechanism in social networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.290930Z

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Observation ee46c9e6-1204-4410-b41f-7ec7337f45eb · outbound

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A graph neural network based on feature network for identifying influential nodes Unresolved cited work

Reference 39

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Observation 44b79753-c9c6-492d-812f-4206c53567f8 · outbound

This paper cites Graph evolution: Den- sification and shrinking diameters,.

A graph neural network based on feature network for identifying influential nodes Graph evolution: Den- sification and shrinking diameters,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.248104Z

Source-reported events for the cited work

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Observation 20d974b3-d73c-4b82-87ea-7fe53986a7be · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A graph neural network based on feature network for identifying influential nodes Adam: A Method for Stochastic Optimization

Reference 41

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This paper cites Thresholding classifiers to maximize f1 score,.

A graph neural network based on feature network for identifying influential nodes Thresholding classifiers to maximize f1 score,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.222891Z

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Observation a8b45c65-d9aa-4613-9e1f-ed58752170cb · outbound

This paper cites The use of the area under the roc curve in the evaluation of machine learning algorithms,.

A graph neural network based on feature network for identifying influential nodes The use of the area under the roc curve in the evaluation of machine learning algorithms,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T05:49:01.966666Z

Source-reported events for the cited work

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Observation ba6ed581-dd78-4c65-a9ae-e0320c2589cc · outbound

This paper cites How attentive are graph attention networks?.

A graph neural network based on feature network for identifying influential nodes How attentive are graph attention networks?

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:49:02.176622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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