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Paper Citation Record · LEDGER

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

As of 20 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.

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measured 44 of 44 standing notices

One-hop event checks from named stored sources.

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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

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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

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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

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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

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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

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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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Source-reported events for the cited work

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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

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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

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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

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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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Source-reported events for the cited work

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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

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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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Observation 35ab61f8-4667-4666-8733-6567f6f24d95 · outbound

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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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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

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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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Source-reported events for the cited work

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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

Resolution
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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

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Source-reported events for the cited work

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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

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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

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Observation 625d55b0-4c18-4c3d-aa9c-3597ffd40c97 · outbound

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

Resolution
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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
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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
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Source-reported events for the cited work

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

This paper cites Overlapping community detection using neighborhood-inflated seed expansion,.

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

Reference 31

Resolution
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Source-reported events for the cited work

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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
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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
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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b63046ea-77a3-4eeb-9197-0eb1efdb5648 · outbound

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

Resolution
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raw_fallback, observed 2026-08-06T05:49:02.390273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:49:02.351227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:01.279403Z digest=sha256:b1bddf8f9d200c4e8d7b78f797cdab011ba9e053a5839ccd7ee8ab3b45df816e

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

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:01.390959Z digest=sha256:42f12c76f2ef65bde61ceec9b6f582dc52122cdddcc8250fead0be6a6ec28812

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:01.483752Z digest=sha256:65fae466ec19d9c5f82c3f174d7e0eacadf80b6e4edd77b7d075d49e06be1cbd

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

This paper cites an unresolved cited work.

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

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:49:02.269833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:01.600460Z digest=sha256:0d8fdebe1b425970d8885fc6f733456f7e48b229aef17707759264b92405ce66

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

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:01.719895Z digest=sha256:d17f8cdc1be5b7970f5eb7f5491be214d3ef76e7322532a65327b1034c704d66

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

Resolution
unresolved
no resolver link, observed 2026-08-06T05:49:01.832768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:49:01.832768Z digest=sha256:c387e100721250d9c4eba8676b8b19cb299a4d13e17750acc3810a339864a5bf

Observation 0a970c7c-a712-4c44-acd4-f54d4e349fb5 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:01.911169Z digest=sha256:163d455b94ee21b6b9377893120b971922c019db5575dc3020a0e99c995f4c3f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:49:01.966666Z digest=sha256:f58fd121430d8e22a0ff115e8c685f696a3479ff6ccb6b9fb36450a62f045a8e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T05:49:02.024730Z digest=sha256:52035467d0cf9e5bc1dba70ef0595cb38cdf51dd40ee92e715202f6667179599

Pith citing papers

No inbound Pith citation observations are available.