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Paper Citation Record · LEDGER

Community detection robustness of graph neural networks

As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2509.24662.

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

pith.paper-citation-record.v1
2509.24662 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T12:50:07.311967Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

67 of 67 outbound references displayed

  • verified exact8
  • verified fuzzy34
  • unresolved22
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External citation measurements

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Outbound references

Observation 883e28e2-3c71-4627-8982-eaeb8c229198 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 1

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Observation ad6adcf3-35ea-43f8-99e2-30e0c14ecddb · outbound

This paper cites We vary the mixing parameter µ ranging between 0.1 to 0.5 to investigate the effects of perturbations at different initial community strengths.

Community detection robustness of graph neural networks We vary the mixing parameter µ ranging between 0.1 to 0.5 to investigate the effects of perturbations at different initial community strengths

Reference 2

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Observation 899cdeb5-d1b2-41c5-b26c-d7441107c2da · outbound

This paper cites In the SBM, a graph with n vertices is partitioned into K different communities.

Community detection robustness of graph neural networks In the SBM, a graph with n vertices is partitioned into K different communities

Reference 3

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Observation f4620c0c-1f67-472d-afe4-c23de016fead · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 4

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Observation e5d2d101-1195-4ea0-bfcc-0f5be4f9bf43 · outbound

This paper cites We follow the procedure outlined by [31].

Community detection robustness of graph neural networks We follow the procedure outlined by [31]

Reference 5

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Observation af8560f8-9a1b-4c4d-8e99-96cab5b4c24c · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 6

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Observation d34354e1-48e9-49a8-931e-7eae4cd192e3 · outbound

This paper cites They allow the learning of node representations based on both node features and graph structure.

Community detection robustness of graph neural networks They allow the learning of node representations based on both node features and graph structure

Reference 7

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Observation cdb9909c-913d-434d-aeaf-a8c12515c95a · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 8

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Observation a24a1193-6beb-4fbf-8d9c-7fe96437e3b1 · outbound

This paper cites The key innovation is the sampling of a fixed-size neighborhood and the combination of the node’s own features with the aggregated neighborhood features.

Community detection robustness of graph neural networks The key innovation is the sampling of a fixed-size neighborhood and the combination of the node’s own features with the aggregated neighborhood features

Reference 9

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Observation 36348c8a-bcbf-4db6-975c-cd81cd7ce0c6 · outbound

This paper cites The key idea is to formulate a continuous relaxation of the normalized MinCut problem and train- ing a GNN to compute optimal cluster assignments.

Community detection robustness of graph neural networks The key idea is to formulate a continuous relaxation of the normalized MinCut problem and train- ing a GNN to compute optimal cluster assignments

Reference 10

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Observation dccb1a49-d4d3-4dc8-b799-dd3784e1c1f7 · outbound

This paper cites Given a graph with adjacency matrix A ∈ [0, 1]n×n and node features X ∈ Rn×p.

Community detection robustness of graph neural networks Given a graph with adjacency matrix A ∈ [0, 1]n×n and node features X ∈ Rn×p

Reference 11

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Observation 8748dc25-1ace-4d11-bebb-adb30cfc3784 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 12

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Observation a5e33f0b-bff9-4f77-a7fc-2e509ff2deed · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 13

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Observation 0cbaad5c-3d73-4db7-bd43-d91d993d32d2 · outbound

This paper cites ∆ECSpert = 1 |P| X p∈P |ECSinitial(p) − ECSfinal(p)| ECSinitial(p) ×100%, where P is the set of all perturbation types (mean, scale, random edge, targeted edge).

Community detection robustness of graph neural networks ∆ECSpert = 1 |P| X p∈P |ECSinitial(p) − ECSfinal(p)| ECSinitial(p) ×100%, where P is the set of all perturbation types (mean, scale, random edge, targeted edge)

Reference 14

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Observation 83723679-5518-41a2-98f6-0419e9e8e2b5 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 15

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Observation 82fa9f74-bbdb-4fcd-9d43-01e87a7c9ba5 · outbound

This paper cites Fortunato, Community detection in graphs, Phys.

Community detection robustness of graph neural networks Fortunato, Community detection in graphs, Phys

Reference 16

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Observation c13da29f-8c61-4478-951f-6ffff5bc83dc · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 17

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Observation 4c5ac221-af8a-4e73-84f2-ae878c31ac20 · outbound

This paper cites Girvan and M.

Community detection robustness of graph neural networks Girvan and M

Reference 18

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Observation ea9ab543-6003-4c1b-b6c1-ece8aeda3c1b · outbound

This paper cites Wandelt, X.

Community detection robustness of graph neural networks Wandelt, X

Reference 19

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Observation d7640b3a-95f7-4902-820c-b214127989af · outbound

This paper cites Lancichinetti and S.

Community detection robustness of graph neural networks Lancichinetti and S

Reference 20

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This paper cites Moriano, J.

Community detection robustness of graph neural networks Moriano, J

Reference 21

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Observation e21a14d4-9f95-423a-892b-05fc55b366fe · outbound

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Community detection robustness of graph neural networks Aref and M

Reference 22

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Observation e3974e8a-ba81-4040-8709-f6c24d25e6b6 · outbound

This paper cites Schuurman and E.

Community detection robustness of graph neural networks Schuurman and E

Reference 23

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Observation d3de7e25-090a-4156-b9c2-85988b0b10bc · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 24

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Observation a3fa1f55-3b56-47ca-b16a-0425f9c4c71a · outbound

This paper cites Scarselli, M.

Community detection robustness of graph neural networks Scarselli, M

Reference 25

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Observation 7358d3b6-8c11-4207-8407-d03c9fca158f · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 26

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Observation 0639e70b-c18d-4eac-ab46-4a613f937a1c · outbound

This paper cites How Powerful are Graph Neural Networks?.

Community detection robustness of graph neural networks How Powerful are Graph Neural Networks?

Reference 27

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Observation 58c537b0-57b6-4c63-8611-e102ff424527 · outbound

This paper cites Veliˇ ckovi´ c, Everything is connected: Graph neural net- works, Curr.

Community detection robustness of graph neural networks Veliˇ ckovi´ c, Everything is connected: Graph neural net- works, Curr

Reference 28

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Observation 3f351754-14ac-4b43-a2b6-55f636a27292 · outbound

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

Community detection robustness of graph neural networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 29

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This paper cites Graph Attention Networks.

Community detection robustness of graph neural networks Graph Attention Networks

Reference 30

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Observation 53a31028-0f1f-4cbe-b375-28ae9eaaaf04 · outbound

This paper cites Hamilton, Z.

Community detection robustness of graph neural networks Hamilton, Z

Reference 31

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Observation 6dad3bdb-bd5f-4d9b-a002-ae9e40e16c5f · outbound

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Community detection robustness of graph neural networks Unresolved cited work

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Observation a8b93656-57fb-4ce2-8443-c28ffaa21e5c · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 33

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Observation 513d0bae-6720-480b-9f12-c797d108b311 · outbound

This paper cites A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource.

Community detection robustness of graph neural networks A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource

Reference 34

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Community detection robustness of graph neural networks Unresolved cited work

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Observation 501ca832-3d37-439c-baaf-cfe59f37c803 · outbound

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Community detection robustness of graph neural networks Unresolved cited work

Reference 36

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

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:f691b6d1e2dd653b9f9ded9e98c07fe489faec671d0f4f6c8d7137a77690271c

Observation 97ddc291-f0b1-4e32-9cf5-f026152eb0b9 · outbound

This paper cites Tsitsulin, J.

Community detection robustness of graph neural networks Tsitsulin, J

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.241853Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:5098c1647fecdb6934c36e226c6f8a79234f54d496122a941b0d4ab4e08ba5f2

Observation f2e9282f-49fa-42aa-a621-eebbc9257462 · outbound

This paper cites Z¨ ugner, A.

Community detection robustness of graph neural networks Z¨ ugner, A

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.153448Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:f7c7388be39c0db7343ce5de3058065089f093b34cf1987ff8c110cdbb8514e7

Observation ea405a3c-ebbf-4b4e-8645-db9225456673 · outbound

This paper cites Adversarial Attacks on Graph Neural Networks via Meta Learning.

Community detection robustness of graph neural networks Adversarial Attacks on Graph Neural Networks via Meta Learning

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.358326Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:07e9f8bdd501b3271df2322009f3fb88ee05e9a97bef29f62e5686246cfee355

Observation f33563e8-60ff-4428-8b6e-433386432583 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.255944Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:b417bd48b3e612b2310981977655e726140482eeec9e95f0f9352275b87dcb38

Observation c5ebc666-2c8c-42ce-9d66-13210f8464be · outbound

This paper cites G¨ unnemann, Graph neural networks: Adversarial ro- bustness, in Graph neural networks: foundations, fron- tiers, and applications (Springer, 2022) pp.

Community detection robustness of graph neural networks G¨ unnemann, Graph neural networks: Adversarial ro- bustness, in Graph neural networks: foundations, fron- tiers, and applications (Springer, 2022) pp

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.245084Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:4b467786ad757922cf9a84784ca6b45a3d8498e891da1f9b52ab92192b65f406

Observation dcde687a-4c64-454e-9164-ea9ac3caf51d · outbound

This paper cites Zhang, X.

Community detection robustness of graph neural networks Zhang, X

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.150781Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:e8540c499c7e6588462a50840357b29827f651faf2f90c24fc048bf22c002386

Observation 4682fa25-1e38-495c-bb47-7a8dfc158111 · outbound

This paper cites Zhang, B.

Community detection robustness of graph neural networks Zhang, B

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.155887Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:31a62953d3a38d96cfe94efc76d8046880b05f060c3b47878e2f8d0c788ad2fa

Observation d01e9821-c6cf-4c7f-ac36-44b32cde56df · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.158134Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:09efa8beb677291db97b6aa47185cbc2bc2a1df450cfd1ed453770a2a353a8a0

Observation 07b41528-9495-48fb-bcbf-3584187c936d · outbound

This paper cites Tian and P.

Community detection robustness of graph neural networks Tian and P

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.146172Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:3967d2fdfa4c327947caa8061ae04ec97673902c82680102920b0d1c63ecfdf8

Observation f2875a5f-6537-4267-b8b6-093f5667b58c · outbound

This paper cites Robustness of graph embedding methods for community detection.

Community detection robustness of graph neural networks Robustness of graph embedding methods for community detection

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.334812Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:7c0666cd6fd61cbd7f7dd4aeb3921dfdd25f51f4c02f0b9c1eda2525fda82de9

Observation 4b48ed0c-27bf-4d35-915c-e176d78baa7c · outbound

This paper cites Lancichinetti, S.

Community detection robustness of graph neural networks Lancichinetti, S

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.160573Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:551d3617a814acdb933ef6aa42674fba569b30449835e57aad95a7614b5b8ae2

Observation f08e88c1-4c1c-4f32-88c1-efed55a97710 · outbound

This paper cites Karrer and M.

Community detection robustness of graph neural networks Karrer and M

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.128170Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:d51fc7b307bf493eefe53f1ccee26cdc8839a6b7590a9d4e3982d8bd9b025ac3

Observation e5a56679-6fce-4a41-9c02-bf208c473d31 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.170232Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:b4304649d8e4454b68476eaa188f0a550d5cf55d970cda3ea1b53d20c1ff36b6

Observation e0b9bc6d-8080-4891-bd64-eeb251c44fd4 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.143888Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:3307a63a837ac5855aaab6e5fc579e5147fe520e764e84755c13d71756d38c38

Observation 918ec168-4bbd-4b3c-b2ca-9de850aedf48 · outbound

This paper cites Synthetic Graph Generation to Benchmark Graph Learning.

Community detection robustness of graph neural networks Synthetic Graph Generation to Benchmark Graph Learning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.325177Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:75d1629e9f6c5974a4c9515383c6e430c1e9be9405fa207ecf104e7cb804c077

Observation 085ec518-c582-4ef6-b9f7-7699a9173d38 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.163033Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:bb39e2f8323d4582517ceb1505fdad5f5e5fa2a2db927d636f7ad9212dbe8fa1

Observation ef1ababe-fcf4-499b-ae47-12e24f09d6aa · outbound

This paper cites Goel, Robust graph neural networks, https://github.com/jdg-stat/robustgnn (2025), gitHub repository.

Community detection robustness of graph neural networks Goel, Robust graph neural networks, https://github.com/jdg-stat/robustgnn (2025), gitHub repository

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.247915Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:c2aded8baac0b088a2f6942fa8f6fe3da505ddf5dc0f3cb3f303b7b6b52c6ab5

Observation bce92d7f-4f98-456a-8ab2-b5f87ff1dee9 · outbound

This paper cites Lancichinetti and S.

Community detection robustness of graph neural networks Lancichinetti and S

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.135976Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:d9ed0abb0fc263bdfbc77a99d3e57a5afaed06ac760318de656bdd7cae1cac5c

Observation 23e96807-ff72-49d1-89ee-e58f88a7636f · outbound

This paper cites Hagberg, P.

Community detection robustness of graph neural networks Hagberg, P

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.138516Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:9b617918ffe281ecd59fd48a22451fea2d112624bdc066ed3a436bd7e5eafef3

Observation 37443c21-85ba-4cbb-ba43-1cdfb9c0b26c · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.167982Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:577f414fe7b3798b2a71a27878be965cc2fd72af1d4bacac408cd85058c9adf0

Observation c066d8ed-2433-4822-9d78-a1708d20e05a · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.122072Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:3e02d9cb80b359b1ffce1195a5d6bcfb7409f9b6d52a29b62fefd8e8dc4d06ca

Observation 1e2e40e4-b11c-485c-bfea-9d73b236e6ff · outbound

This paper cites Attacks on Node Attributes in Graph Neural Networks.

Community detection robustness of graph neural networks Attacks on Node Attributes in Graph Neural Networks

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:51:23.320349Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:476ff823fca1d4859bfbe2315a1aab088d5eea82e24315034deabbae2f9d8da0

Observation 4734b0b7-72b8-4a08-8688-97d102ac9d4f · outbound

This paper cites Souravlas, S.

Community detection robustness of graph neural networks Souravlas, S

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.116529Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:7ed119cbcb11e793fc65c26e48fee0ca22c35123780c0c9faf5271a4bdcd6251

Observation aef3febc-a638-4f95-9420-a854061024fd · outbound

This paper cites Sobolevsky and A.

Community detection robustness of graph neural networks Sobolevsky and A

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.228229Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:d831a81648561a92333ba5357b7a97c215833a24594f3aed577922aa5e9a0c82

Observation b3b22b0f-5dae-4faf-9c0d-fe6766911455 · outbound

This paper cites Leeney and R.

Community detection robustness of graph neural networks Leeney and R

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.253159Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:6508ffe9242702c0e8602dbb8d11f9afebee3f03e2588286445d75686c1aadce

Observation 7d348aa8-4454-426c-b96d-b8d5a74cabc9 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.119224Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:bf8f588e4a26f4485a8ecc70456e88d676aea265d8c90b1ebd197e6040591162

Observation a8ee9f39-3e41-411a-9f44-5620fb80d86c · outbound

This paper cites Merkwirth and T.

Community detection robustness of graph neural networks Merkwirth and T

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.130924Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:a5604bcf71a3d89df3ac22ef04436cadd787afb891225c8e7e2f1f85d45e8af3

Observation e7a2da63-4a2c-4281-8fc3-6ac36b706b56 · outbound

This paper cites an unresolved cited work.

Community detection robustness of graph neural networks Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-05-18T12:51:24.192305Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:07b53238b54597c2e16c475dd316e9a41809b22a1322821e5c41d8630e77b28f

Observation 25d472c2-001f-4673-970f-e4ed9d89c713 · outbound

This paper cites Budel, M.

Community detection robustness of graph neural networks Budel, M

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.200931Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:40cfd0b950ef6f009365c98935f9f1e0e264380bf09f40e4d7bca81113b73832

Observation 9f768043-aa6d-45cf-87eb-ed85edf2570f · outbound

This paper cites D´ esy, P.

Community detection robustness of graph neural networks D´ esy, P

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T12:51:24.212093Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:b44a04d4f530839a9b5b23701e7328209c3a9e115f9798bd72d3efec62d0d1d5

Observation 0b9db52e-e12f-45d6-9c8a-ec8c93e3dd82 · outbound

This paper cites Hyperbolic Graph Neural Networks: A Review of Methods and Applications.

Community detection robustness of graph neural networks Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Reference 67

Resolution
malformed identifier
arxiv_id, observed 2026-05-18T12:51:23.344792Z

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.

source=pdf_text observed=2026-05-18T12:50:07.311967Z digest=sha256:c0a150787e3bcfe2df01c20eacc39439fe216c47a676961c469456cb6e740892

Pith citing papers

No inbound Pith citation observations are available.