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Paper Citation Record · LEDGER

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection

As of 10 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2502.08605.

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

pith.paper-citation-record.v1
2502.08605 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:37:48.890342Z

measured 56 of 56 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

56 of 56 outbound references displayed

  • verified exact2
  • verified fuzzy41
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2eb70b3a-8c0b-4eb3-842e-63b744a9cb60 · outbound

This paper cites Constant curvature graph convolutional networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Constant curvature graph convolutional networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.544769Z

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=arxiv_source observed=2026-08-08T04:37:48.682152Z digest=sha256:8191f13168357c5315e32bf7cb560e702de2f195c2cffd111594b476c05d6428

Observation 87574b67-ec91-4d75-a079-47e952bd4cce · outbound

This paper cites Discrete laplace operator on meshed surfaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Discrete laplace operator on meshed surfaces

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.533311Z

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=arxiv_source observed=2026-08-08T04:37:48.686872Z digest=sha256:db33b54ba5373cbf7636e1311bc3e19b7b580988108c2570365998c27053f259

Observation bf627f85-b02f-4628-a6c7-2c858227379c · outbound

This paper cites Hyperbolic graph convolutional neural networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hyperbolic graph convolutional neural networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.690969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.690969Z digest=sha256:de1506027bebd66dc29eaa9d195b9bafa2a536482408ce5d6fedcddd9dc844ac

Observation 71731454-7ac4-4cce-be70-0f5de46b097b · outbound

This paper cites Detecting network anomalies using forman--ricci curvature and a case study for human brain networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Detecting network anomalies using forman--ricci curvature and a case study for human brain networks

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.515447Z

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=arxiv_source observed=2026-08-08T04:37:48.696925Z digest=sha256:dc898729da3b10d640869f7c628f243f144f9d90f60ed1b7df81075e3744df73

Observation a664b414-e0d5-468a-b08c-51f7c603bf8b · outbound

This paper cites Hamilton’s Ricci flow, volume 77.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hamilton’s Ricci flow, volume 77

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.505036Z

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=arxiv_source observed=2026-08-08T04:37:48.701135Z digest=sha256:d5ea2118d7cfaed133b3f79f47136049d7d9c7db01d46d649582fdc4fbe978de

Observation dcf48927-f120-4284-8461-cd578727059a · outbound

This paper cites The n-dimensional cotangent formula.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection The n-dimensional cotangent formula

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.494907Z

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=arxiv_source observed=2026-08-08T04:37:48.705449Z digest=sha256:7a8f167a0587f26d582dfbb73925db4c8a0699700880de46b89025eb8602d420

Observation 973d00b8-45f6-4988-ae23-b4bb55bb72e1 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Convolutional neural networks on graphs with fast localized spectral filtering

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.483563Z

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=arxiv_source observed=2026-08-08T04:37:48.709809Z digest=sha256:e5ec5f8e89b4a6ece7052dce911e1b127eebb9d750425b971d627b65dbbe5be4

Observation f9c990cb-a4a4-4d39-a3a4-aea6d4ca9de0 · outbound

This paper cites Deep anomaly detection on attributed networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Deep anomaly detection on attributed networks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.471603Z

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=arxiv_source observed=2026-08-08T04:37:48.713546Z digest=sha256:cb4e67cca15f47023436b4afda9f04fcb09494f7aff41c75e31e4b4c9d39dbdd

Observation 5cc62ff2-ba14-4e53-a9dc-fea2fadcbcd2 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.460187Z

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=arxiv_source observed=2026-08-08T04:37:48.717124Z digest=sha256:36212ae29e99032336bb34d5e1a0cd387da1ae30abb3e56ee40317277bba2fcf

Observation 277caa12-55e6-46f0-9967-89a2f1e69b94 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.448157Z

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=arxiv_source observed=2026-08-08T04:37:48.720921Z digest=sha256:fc436558a01f4eb856ddd0a30a9e1725588d615b5e6c6e454212b5a5dcebd82c

Observation 53125307-6a9c-4f4b-be4d-f66441b1755e · outbound

This paper cites Cascade-lstm: A tree-structured neural classifier for detecting misinformation cascades.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Cascade-lstm: A tree-structured neural classifier for detecting misinformation cascades

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.436840Z

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=arxiv_source observed=2026-08-08T04:37:48.724649Z digest=sha256:002b7a4d799d317dcbba87cef53540af1b2f7290205ae8355e1dbf32a359a2b2

Observation ae188c9d-bed1-42b2-8018-a7659d562b67 · outbound

This paper cites Anomalydae: Dual autoencoder for anomaly detection on attributed networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Anomalydae: Dual autoencoder for anomaly detection on attributed networks

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.425048Z

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=arxiv_source observed=2026-08-08T04:37:48.728563Z digest=sha256:602163b488f4af6d3abf31233f9d986e4e63cb6264e5289b49cc3b41ba5b7510

Observation 006ad955-cf64-400c-9593-521944a7ce99 · outbound

This paper cites Learning mixed-curvature representations in products of model spaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Learning mixed-curvature representations in products of model spaces

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.412930Z

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=arxiv_source observed=2026-08-08T04:37:48.732169Z digest=sha256:f70ba115670456d4ce56ac839ba34e96136d9e7bfc0bb14b73a28039a5220ffe

Observation 90a463e7-fd25-498e-aa8e-5f27b5cba9bf · outbound

This paper cites L., Ying, R., and Leskovec, J.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection L., Ying, R., and Leskovec, J

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.397697Z

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=arxiv_source observed=2026-08-08T04:37:48.735742Z digest=sha256:be0b0cfdf03670613892e3d467251dcdd0bab47493f893b4ffdf4e5ca12cba0a

Observation ca36588e-bf96-4ba3-905c-9d03803c6519 · outbound

This paper cites ADB ench: Anomaly detection benchmark.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ADB ench: Anomaly detection benchmark

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.385351Z

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=arxiv_source observed=2026-08-08T04:37:48.739304Z digest=sha256:0d0620bbfe90b1d079a23a2458b4bf4f9cc1adfc2626e4af52858c205337c653

Observation c7c9b310-ae79-47e3-9004-068772b20ffa · outbound

This paper cites Analyzing the effectiveness of graph metrics for anomaly detection in online social networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Analyzing the effectiveness of graph metrics for anomaly detection in online social networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.371789Z

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=arxiv_source observed=2026-08-08T04:37:48.742842Z digest=sha256:62aa7a8c21eb8e25ecb89e2f9701c86f1ff75115be90abc6ac98e6dac1188770

Observation b35c7f4e-4ece-4c31-a85a-60e02de50887 · outbound

This paper cites ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-08T04:37:48.984092Z

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=arxiv_source observed=2026-08-08T04:37:48.746493Z digest=sha256:ce6b1d02393105bac985013671376f3eb07a9e35dbeca0a530bc9693398aed9a

Observation 2adaa976-9500-4bb8-a787-2f7a155aa0c5 · outbound

This paper cites Ada-gad: Anomaly-denoised autoencoders for graph anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ada-gad: Anomaly-denoised autoencoders for graph anomaly detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.358659Z

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=arxiv_source observed=2026-08-08T04:37:48.750767Z digest=sha256:c22e7a563d3ad37ea5ac8282738b178f96bbff51df83252be7303ac7c305ea50

Observation 9725e2df-223a-4047-a14f-085476adc9e3 · outbound

This paper cites Bernnet: Learning arbitrary graph spectral filters via bernstein approximation.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Bernnet: Learning arbitrary graph spectral filters via bernstein approximation

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.346131Z

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=arxiv_source observed=2026-08-08T04:37:48.754398Z digest=sha256:3d33f0bd2aa8ed8b64bb158d7f398a2660000604817cc65f9d108da7fd4eafe2

Observation 66c169e5-6b88-42a8-ad6f-d94f5f6e2a3b · outbound

This paper cites Graph Convolutional Networks for traffic anomaly.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Graph Convolutional Networks for traffic anomaly

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-08T04:37:48.968395Z

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=arxiv_source observed=2026-08-08T04:37:48.758279Z digest=sha256:4f9d5a62744966fbcb52371989be4bc56e4df92896a26586b9ff66a01a359b37

Observation 7b979849-b963-489f-9535-da4b0b5fde86 · outbound

This paper cites Dgraph: A large-scale financial dataset for graph anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Dgraph: A large-scale financial dataset for graph anomaly detection

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.335273Z

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=arxiv_source observed=2026-08-08T04:37:48.762552Z digest=sha256:5b5435eff81ae5726b7585119ed4117fddfc5ded2963c9fdd795f7d2ca0c236c

Observation 245b31fe-6a76-4790-b4c6-b9ed416d5bc9 · outbound

This paper cites and Liu, S.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Liu, S

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.323171Z

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=arxiv_source observed=2026-08-08T04:37:48.766264Z digest=sha256:e16e7516de3ee7da606907ec805806c8394d2733237c97103f48f8d283c1b25b

Observation 2ff45b50-c566-4d9c-8bb1-0f1b36752a5c · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.311050Z

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=arxiv_source observed=2026-08-08T04:37:48.770000Z digest=sha256:74bb28048d7dc40d5b7705b7412f2cf67823c3d058031ea499ada2bd8310fc00

Observation 091bd3b6-9266-4679-8ad3-2b3fb46e0ea1 · outbound

This paper cites The hungarian method for the assignment problem.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection The hungarian method for the assignment problem

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.300161Z

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=arxiv_source observed=2026-08-08T04:37:48.773622Z digest=sha256:3f56506121c3370326ad0f85d6d456ed7c8a6d64ce64bf2d06bb7e5951d9e7fc

Observation 8b0980f2-2ef6-47b2-a235-88befe17e0bf · outbound

This paper cites Predicting dynamic embedding trajectory in temporal interaction networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Predicting dynamic embedding trajectory in temporal interaction networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.287386Z

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=arxiv_source observed=2026-08-08T04:37:48.777085Z digest=sha256:24ed23f2a692cec3cb71c554f0d0f5e5b7e8993f5913d4f7bbe709efa4a71872

Observation ab7960fd-57fe-45e0-9991-8cac43ce76e6 · outbound

This paper cites Ricci curvature of graphs.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of graphs

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.274949Z

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=arxiv_source observed=2026-08-08T04:37:48.780430Z digest=sha256:eab285817be73c6cfc6038a26c2e53952bd890d048e3101cd762c2ad1754173a

Observation f229c164-365b-43a8-8c6e-5a9621cfdcd6 · outbound

This paper cites H., Jia, Z., and Yu, P.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection H., Jia, Z., and Yu, P

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.262461Z

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=arxiv_source observed=2026-08-08T04:37:48.783750Z digest=sha256:d78b95dd168116fbfae4d422ac7a9d9cb8c2c99d3bdfd269a2380b3caf462e37

Observation 07aedf05-6290-40d2-84e4-d190a34e6386 · outbound

This paper cites Sphereface: Deep hypersphere embedding for face recognition.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Sphereface: Deep hypersphere embedding for face recognition

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.787710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.787710Z digest=sha256:2519aba107971205d304ff85ebbaf2b556913c2cd232ffdc029b3e7f2ef96839

Observation 7d80a50a-0e63-46c8-bc5f-acd0b0343c5a · outbound

This paper cites Pick and choose: A gnn-based imbalanced learning approach for fraud detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Pick and choose: A gnn-based imbalanced learning approach for fraud detection

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.243362Z

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=arxiv_source observed=2026-08-08T04:37:48.791222Z digest=sha256:a5cf0b355879cecbc0075a24e53eb33b191865cf5538242c9522b6d1afab5a6e

Observation dc5f3e4b-25d0-4034-bfee-9fa06f45eb1d · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.232761Z

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=arxiv_source observed=2026-08-08T04:37:48.794799Z digest=sha256:03684a5773f98dc697a37209f9c991adf61b7230ba523c8f25c49da534b56ca6

Observation 3d25619e-f1d4-41ee-a50a-cb1ac343971a · outbound

This paper cites Network alignment by discrete ollivier-ricci flow.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Network alignment by discrete ollivier-ricci flow

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.222027Z

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=arxiv_source observed=2026-08-08T04:37:48.798402Z digest=sha256:5e7c39ccaf6b8bcc90d2aa53c9b63599e78ecfbae6f923ea9019fa44b6cb0c57

Observation 55764fb5-6420-4e95-9b1a-ef8aa915bef0 · outbound

This paper cites Ricci curvature of metric spaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of metric spaces

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.211403Z

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=arxiv_source observed=2026-08-08T04:37:48.801870Z digest=sha256:618d5f76fa9e58ecda5c5aa5bd5757f5a6cb0d7f8d8dcfd8a3275014ed76b8d5

Observation 38b1dd66-947f-4743-b54f-365f194d05f3 · outbound

This paper cites Ricci curvature of markov chains on metric spaces.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvature of markov chains on metric spaces

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.200378Z

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=arxiv_source observed=2026-08-08T04:37:48.805350Z digest=sha256:0eaa05f1f680f90ed3b34bdea52a9de5dc3a805eeca6666a0ae2a2828c75f4be

Observation 900eb7ba-e2ff-488b-9e7a-0384791e8dc8 · outbound

This paper cites and Rossi, F.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Rossi, F

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.189463Z

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=arxiv_source observed=2026-08-08T04:37:48.808584Z digest=sha256:c29ab2defca96ebc08fdbcd50ce50167d7599e2b3074672fe9404f08be84c304

Observation f9a41ec2-2af8-4552-809d-5661ff840cfa · outbound

This paper cites A critical look at the evaluation of gnns under heterophily: are we really making progress? In ICLR, 2023.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection A critical look at the evaluation of gnns under heterophily: are we really making progress? In ICLR, 2023

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.178228Z

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=arxiv_source observed=2026-08-08T04:37:48.811924Z digest=sha256:799abcd4b00fafdaff92128e8d7b250b995da6da1c70f91ee1de21a50595aaa0

Observation 04331234-c91b-4d22-a2e9-fd4100c36f50 · outbound

This paper cites and Akoglu, L.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Akoglu, L

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.166513Z

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=arxiv_source observed=2026-08-08T04:37:48.815608Z digest=sha256:74cc216967c1c3ff61355f83a5318047ba614a4128b31464e89ea67df1d41167

Observation 15596e27-cd59-47bb-a11e-0cced3a1456b · outbound

This paper cites Gad-nr : Graph anomaly detection via neighborhood reconstruction.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Gad-nr : Graph anomaly detection via neighborhood reconstruction

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.155604Z

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=arxiv_source observed=2026-08-08T04:37:48.819046Z digest=sha256:8f298ec218780089594f2e7fcdb5fc3c88e89b72a5157028f73b792998297ec4

Observation 41da7bf6-ecb5-4921-9fbe-c58a1827bfa2 · outbound

This paper cites Karate club: an api oriented open-source python framework for unsupervised learning on graphs.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Karate club: an api oriented open-source python framework for unsupervised learning on graphs

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.144972Z

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=arxiv_source observed=2026-08-08T04:37:48.822738Z digest=sha256:50613a50ac0b707c42b30723c696f05103539630a203e7eb1c5bde7074ed3927

Observation 594d0a71-ecb6-4b18-a739-223db28b1627 · outbound

This paper cites Representation tradeoffs for hyperbolic embeddings.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Representation tradeoffs for hyperbolic embeddings

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.134488Z

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=arxiv_source observed=2026-08-08T04:37:48.826298Z digest=sha256:60e055d452fd7efbc904fed2fc32ec01f525ddcc0490f99fd6d4f70e409bcc62

Observation 3b3d98b1-0bcd-4895-83ce-91c5fe15bf62 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.124207Z

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=arxiv_source observed=2026-08-08T04:37:48.830003Z digest=sha256:e9f5a7918c3f4eda301440aaa80a0e2136e934483f30271cdc458fb6386beef6

Observation b9867406-7574-4b17-a70f-1e9484588d0e · outbound

This paper cites and Knopp, P.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Knopp, P

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.114325Z

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=arxiv_source observed=2026-08-08T04:37:48.833402Z digest=sha256:0d40cd229abad9a9091e408eeebad5e84da2fc656e2859a9f303df4505dfc954

Observation dd37dec1-69d8-450f-9cb9-c86742d9c527 · outbound

This paper cites Rethinking graph neural networks for anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Rethinking graph neural networks for anomaly detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.103890Z

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=arxiv_source observed=2026-08-08T04:37:48.836931Z digest=sha256:19899e193b847bdcb5bdfffc9bf15dcc27ba50d590c78be99d7f4a4c2f3a1da5

Observation cbf63fb0-341f-4ab7-9b54-3dcf7f2024c8 · outbound

This paper cites Ricci curvatures of contact riemannian manifolds.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Ricci curvatures of contact riemannian manifolds

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.093006Z

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=arxiv_source observed=2026-08-08T04:37:48.840301Z digest=sha256:ac7e07a35188fc869541f463f71115546c48272ba013f9b9dd5d030d584d1065

Observation 3dd0e992-1a19-43b1-b342-95dad1451f23 · outbound

This paper cites Curvature-based Clustering on Graphs.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Curvature-based Clustering on Graphs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.844277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.844277Z digest=sha256:29fc95a31e8578470539cbab70c41f697a50435d955f419da97e6c8ee4264ed7

Observation 3101780f-f191-4272-933c-5c7301f4db5d · outbound

This paper cites Understanding over-squashing and bottlenecks on graphs via curvature.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Understanding over-squashing and bottlenecks on graphs via curvature

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.848237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.848237Z digest=sha256:683cba18fb9418f212f063d38b628e2619fdd69a2eb7f7ef674763e7a76cd68a

Observation 2c9a1767-e8f4-4ffc-b7b2-00b191c550c6 · outbound

This paper cites an unresolved cited work.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-08T04:37:49.082039Z

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=arxiv_source observed=2026-08-08T04:37:48.852033Z digest=sha256:84e0e22048d29a5fc95a907d9d512bd0a421a9d6c575326574ba6e66a0ee3bfd

Observation f740fbf6-7a33-4510-903a-b66951b9cef5 · outbound

This paper cites Geometry of laplace-beltrami operator on a complete riemannian manifold.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Geometry of laplace-beltrami operator on a complete riemannian manifold

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.071348Z

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=arxiv_source observed=2026-08-08T04:37:48.855577Z digest=sha256:fb1aa041ccd74c555b7ee6560a73dc0be96397cba936f87274fd30ad51952d87

Observation 8118e529-efb3-4db6-98af-e9f5f4214440 · outbound

This paper cites Graph Attention Networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Graph Attention Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.859401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.859401Z digest=sha256:d6f6b92e133f201ce8ab978abf6a91ff0d9179af65537723966834ad597bfba1

Observation 4ff787a0-9356-47f9-a969-b5a296dbc475 · outbound

This paper cites and Zhu, H.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection and Zhu, H

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.060118Z

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=arxiv_source observed=2026-08-08T04:37:48.863360Z digest=sha256:3f79330beea3154ef45f8a27579809976b123dfa126c0f0a18bdab23604f52ed

Observation 0580729d-4fe3-421e-8280-60fe9a5e4ee3 · outbound

This paper cites Decoupling representation learning and classification for gnn-based anomaly detection.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Decoupling representation learning and classification for gnn-based anomaly detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.048823Z

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=arxiv_source observed=2026-08-08T04:37:48.866985Z digest=sha256:e4f075e68f4a9597c93ce070c7593855077cd40ec2cc55200ed47a7f12cf9d40

Observation 70add1b4-5b43-47ce-8446-3c2058ff85b2 · outbound

This paper cites Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.870949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.870949Z digest=sha256:56d4cac71ac6460ab9dd18392e12cbe206e28e6f144d395a66e09f05cbff203d

Observation 63736e00-24c4-4e83-8420-beeb2812d590 · outbound

This paper cites Pseudo-riemannian graph convolutional networks.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Pseudo-riemannian graph convolutional networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.037221Z

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=arxiv_source observed=2026-08-08T04:37:48.875573Z digest=sha256:7f67a6747a99bd0f4ee3b47c72f5417b9f08165b8ace4461e25c7d48da7368fd

Observation f30753ed-464d-4e07-a3dd-38ce3584148e · outbound

This paper cites Casflow: Exploring hierarchical structures and propagation uncertainty for cascade prediction.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Casflow: Exploring hierarchical structures and propagation uncertainty for cascade prediction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.026012Z

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=arxiv_source observed=2026-08-08T04:37:48.879204Z digest=sha256:1c317708e0ef489f0a3cd66bb39cc89c5f6b3b530a2655fd5387d25c5acf7c36

Observation c2e62ce1-dedb-4eae-8beb-3631908f838b · outbound

This paper cites Hyperbolic graph attention network.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Hyperbolic graph attention network

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.013996Z

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=arxiv_source observed=2026-08-08T04:37:48.882980Z digest=sha256:4c0bb6dd23b46c3fea31156f65d1f580cfc3f5d75a7b2e51c21065a773171801

Observation 764dbd75-7072-43f5-8bec-5ceedd8e278f · outbound

This paper cites Error-bounded graph anomaly loss for gnns.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection Error-bounded graph anomaly loss for gnns

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:37:49.002592Z

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=arxiv_source observed=2026-08-08T04:37:48.886622Z digest=sha256:ec2917700b0e120ae2d9b66b3b478206c72956239b6183f8c58dd12d9cc7734c

Observation 532338af-19b9-4c7c-9b2b-755ba15bedb7 · outbound

This paper cites write newline.

CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection write newline

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-08T04:37:48.890342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:37:48.890342Z digest=sha256:850770dd1337df51afb8f7db662f88e5f60cfdee5a1e514e42a6ea1004bea80a

Pith citing papers

No inbound Pith citation observations are available.