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Paper Citation Record · LEDGER

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2504.15075.

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

pith.paper-citation-record.v1
2504.15075 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:59.424788Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy27
  • unresolved27
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4d644174-cb4a-4bc3-b508-acbce822ed80 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 1

Resolution
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Observation 76d4fdf7-b790-4014-b76c-9e3a39f15de7 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 2

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Observation 83c27ca6-6563-4793-8f62-82fb73fb96c2 · outbound

This paper cites Sys., 2023, vol.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Sys., 2023, vol

Reference 3

Resolution
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Source-reported events for the cited work

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Observation 9d9d3881-3355-4a6c-be99-0d35a90f8b44 · outbound

This paper cites A Generalization of Transformer Networks to Graphs.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention A Generalization of Transformer Networks to Graphs

Reference 4

Resolution
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Source-reported events for the cited work

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Observation 3f6e24ce-6815-49fa-8fe0-20468549a2f3 · outbound

This paper cites McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel, ”Image-based recommendations on styles and substitutes,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention McAuley, Christopher Targett, Qinfeng Shi, and Anton van den Hengel, ”Image-based recommendations on styles and substitutes,” in Proc

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a4d840c2-201b-4d5a-bff6-100fb4a178dd · outbound

This paper cites Rep., 2023, vol.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Rep., 2023, vol

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8a894e06-23d3-4936-a4c6-38c1855e5b70 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation acf41e9e-4712-4ce2-b91f-88bb9996fdbf · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2dad25a4-2cdc-49a9-a7b9-f91de784cbab · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 47841ff7-1e86-4b72-997e-e11d3f8389a4 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b41ead0f-8b3b-44dc-a97e-94f7e162e285 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

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Observation 55e6549a-ce83-496d-b550-efe168b23e55 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 67689a2f-e80a-4d23-a39e-3249b06152f3 · outbound

This paper cites ”Graph representation learning and its applications: A survey,” Sensors, 2023, vol.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention ”Graph representation learning and its applications: A survey,” Sensors, 2023, vol

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c2ae2639-8aa6-4c1d-a1b1-871c07153855 · outbound

This paper cites AAAI Conf.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention AAAI Conf

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0a8f24fd-161e-4c7e-a0c0-0d2215e898b1 · outbound

This paper cites Web Conf., 2021, pp.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Web Conf., 2021, pp

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.300843Z digest=sha256:f608793382a813cef6f99ed3d4e3f3f342d73a1bd9711acfb50e2c1e37ece0f9

Observation 5ccad58d-8a16-401d-a5e1-16edce9b114c · outbound

This paper cites Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck

Reference 16

Resolution
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Source-reported events for the cited work

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Observation dc122ad1-bcc9-4fbc-94a3-642a5ff91f52 · outbound

This paper cites Borgwardt, ”Structure-aware transformer for graph representation learning,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Borgwardt, ”Structure-aware transformer for graph representation learning,” in Proc

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 21d73fcc-3cdf-40b9-8481-be5d28923a7a · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 684e1193-56c2-4c71-85f8-2f73620b457c · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b12e69d5-b6f6-45be-bf09-9afbce218e76 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 20

Resolution
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Source-reported events for the cited work

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Observation d186c14d-592d-4151-839b-4a95350f11c6 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e9a06261-0347-4582-94ea-b940c0d7cdb5 · outbound

This paper cites Jung, ”Learning multi- resolution representations of research patterns in bibliographic networks,” J.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Jung, ”Learning multi- resolution representations of research patterns in bibliographic networks,” J

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 602564ff-341b-42a7-a9cf-fff8e91c30dd · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7c23e4d4-f080-4a1b-a890-388c529cd81f · outbound

This paper cites ICML Work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention ICML Work

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 188c93e9-8c1f-4c0e-b8f3-d52632ef4d1c · outbound

This paper cites Jung, ”Story embedding: Learning distributed representations of stories based on character networks (extended abstract),” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Jung, ”Story embedding: Learning distributed representations of stories based on character networks (extended abstract),” in Proc

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 662123ed-a568-4270-b66c-1e666d28a32f · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 02d14b7e-6be9-4128-9e55-35385064540e · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation b98ee2cd-1e2a-4dec-a9a0-aedb29f379c9 · outbound

This paper cites Graph Attention Networks.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Graph Attention Networks

Reference 28

Resolution
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Source-reported events for the cited work

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Observation dcdcf05c-8869-48d5-afec-486452aa7100 · outbound

This paper cites Hamilton, Vincent L´etourneau, and Prudencio Tossou, ”Rethinking graph transform- ers with spectral attention,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Hamilton, Vincent L´etourneau, and Prudencio Tossou, ”Rethinking graph transform- ers with spectral attention,” in Proc

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5ea27042-53ac-49ec-ad17-bb13cfbb6540 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 30

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0d201601-6b2f-4071-b974-8bb358107958 · outbound

This paper cites ACM SIGKDD Conf.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention ACM SIGKDD Conf

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.783245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 342b631d-ba56-49b4-b3a3-56e1a87b523d · outbound

This paper cites AAAI Conf.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention AAAI Conf

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4e7a5909-eb67-4160-aa77-f8b5ddf45782 · outbound

This paper cites Wipf, and Junchi Yan, ”Nodeformer: A scalable graph structure learning transformer for node classification,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Wipf, and Junchi Yan, ”Nodeformer: A scalable graph structure learning transformer for node classification,” in Proc

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.759295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation eccee950-8911-44fc-a869-80a0205fbbf9 · outbound

This paper cites Fusion, 2024, vol.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Fusion, 2024, vol

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.747121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.361231Z digest=sha256:f07fb7ab6fa77b1d524b308a6601f570a33129b82f1c6f0458736605f843ac35

Observation 1f042473-83b9-43af-bb9c-b4f68395d70d · outbound

This paper cites Cyber., 2022, vol.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Cyber., 2022, vol

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.734143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.364143Z digest=sha256:22e35aca7cfd42c45b42272292af2cf17f0c5a7ad3d603458109e4eaef43b616

Observation 826887df-b6dc-4601-b86b-fe87250ac488 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:38:59.722210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.367505Z digest=sha256:163b3270d3d5d2e18e8b9678481a5c058470ead25b84b56ce9e38d6a1d52af42

Observation d967a872-d19c-4204-a234-6dc4572b71e3 · outbound

This paper cites ACM SIGKDD Conf.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention ACM SIGKDD Conf

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.699446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.370309Z digest=sha256:cb0a545375243c68b11bca3c5ca7749a5454db47df5da85db713338b3df8b692

Observation f04fe233-be8a-4ce7-b5a6-25faefee6e2f · outbound

This paper cites Woodford, Meng Jiang, and Neil Shah, ”Data augmentation for graph neural networks,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Woodford, Meng Jiang, and Neil Shah, ”Data augmentation for graph neural networks,” in Proc

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.687678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.373223Z digest=sha256:065b4cf8723a1ef6c85591731365b2a80720757b89162f44503881ac6eb2e79f

Observation f04e9790-7e17-42ee-a58a-5c0856c632b7 · outbound

This paper cites ACM SIGKDD Conf.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention ACM SIGKDD Conf

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.674678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.376144Z digest=sha256:46f0047e87afd1667c1094afdeb5ee4568ff993064e7e68c7f184f11d96760a4

Observation 5308ca5b-7e4f-4963-be81-c6f6cdf9a860 · outbound

This paper cites Web Conf., 2022, pp.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Web Conf., 2022, pp

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.663355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.379025Z digest=sha256:e0e0492273cb20d429f2dc4fc3ac076451e0a7cd0212b9671a08f89dbc2dbd74

Observation 91e9b86a-706d-433f-909c-0d6993a7428f · outbound

This paper cites AAAI Conf.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention AAAI Conf

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.651966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.382033Z digest=sha256:d0a9dda8ffcf30c9e7315a07a73ee87f0a8087fa59912332d84b5c8390c37f52

Observation 2f1b16de-5458-4753-a0f2-06f40d4f4ea6 · outbound

This paper cites Li, ”Dink-net: Neural clustering on large graphs,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Li, ”Dink-net: Neural clustering on large graphs,” in Proc

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.638498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.384937Z digest=sha256:1763d9fa36c14c3c16e25c386905c37eb47eb3678a6e04b8131b5aef2fe34640

Observation 91d224aa-92b5-49d8-926d-06c5560b984c · outbound

This paper cites ”Categorical reparam- eterization with gumbel-softmax,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention ”Categorical reparam- eterization with gumbel-softmax,” in Proc

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.625953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.387908Z digest=sha256:6d470e34c69bd4a96dad5df290aa58eaa2f062a70da7c0ede8c43e93fd58e6d7

Observation 8457458c-942c-4613-ac67-44e71244cf85 · outbound

This paper cites Maddison, Andriy Mnih, and Yee Whye Teh, ”The concrete distribution: A continuous relaxation of discrete random variables,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Maddison, Andriy Mnih, and Yee Whye Teh, ”The concrete distribution: A continuous relaxation of discrete random variables,” in Proc

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.613477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.391040Z digest=sha256:6ba04171064eb0fffdba90f030ca1b60d8691c158541a80681678517d4f94d21

Observation 313e9831-0bd9-44ae-aa36-82fa6276f7a2 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:38:59.601125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.393843Z digest=sha256:85734699c75a49a80f82b5d0ae00974febc45ae777350efc8cddd9863821e0e7

Observation 18123b3d-13e2-4599-a7ba-d59d124289ab · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:38:59.588565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.396841Z digest=sha256:f313beac625ed18faa9a12dd8bb1d5bedd53205481b8662e5c80ab4965b42ae1

Observation 47b41d5e-2d20-4b77-abcd-a9459529968e · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:59.399829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:38:59.399829Z digest=sha256:70bfdb2a7c8fba106d2801a52361f180054cf516dd8c0080c861a5c67cd9b552

Observation 929e3dc9-3222-4c61-9ca5-244734e55c65 · outbound

This paper cites Zemel, ”Learning adversarially fair and transferable representa- tions,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Zemel, ”Learning adversarially fair and transferable representa- tions,” in Proc

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.565778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.403248Z digest=sha256:d60710f2c7b7c8f8ec5d808b3d102ef57ada1538a7e5d1fee8cd03fddf9f50d9

Observation 7c8ecd08-24f6-43a6-9e2a-5d10be1f94de · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:38:59.553189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.406251Z digest=sha256:da1144a5a0e1a9b975a48c4d703403b81337abb263ba8bfdf1f00033eb002d6d

Observation c1cf42b0-2139-432f-a403-5a3458771ee1 · outbound

This paper cites Fast Graph Representation Learning with PyTorch Geometric.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Fast Graph Representation Learning with PyTorch Geometric

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:59.409170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:38:59.409170Z digest=sha256:bc205f35af452f255e1a9fa8363298c9f7ac3fdc8c722a74d742d1eb04a58dbb

Observation ee97ceaa-fcc1-4ad3-bce1-8c6443024d1a · outbound

This paper cites Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:59.412548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:38:59.412548Z digest=sha256:2237861d4b90cb40417b8f87eef31f538fe9e4c8bbb4afd52ea99b0d1165125f

Observation 04c25047-2cba-48a8-a5b3-b394965ee5d0 · outbound

This paper cites Hamilton, ”Compositional fairness constraints for graph embeddings,” in Proc.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Hamilton, ”Compositional fairness constraints for graph embeddings,” in Proc

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.542991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.416047Z digest=sha256:d71e4f5a6a84a1a6d9df382f4ebb7e913d3b5d72b98d7af8caec7f8d4ba92929

Observation 590e908b-d503-4ffc-9419-1dcb539672b6 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:38:59.532944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.419199Z digest=sha256:e0c96e490563a27f08a853a3a705789b040f10ea90ee596cc2ba5a9886c9b22a

Observation a5d71ae6-235d-4fda-b759-c441f1968d82 · outbound

This paper cites an unresolved cited work.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-16T11:38:59.523238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.421955Z digest=sha256:1b2a313c7f7fd288b9764ed8cc0fafee2d6356360c3dbaa3b7d4d1da2ee4f0fd

Observation 1be3bd6b-823f-4121-9564-74ef2bb9900c · outbound

This paper cites Surveys , 2023, vol.

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention Surveys , 2023, vol

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:38:59.511450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T11:38:59.424788Z digest=sha256:ac840ff12e40d7e4f4cf85c63696b871476f77b4a500deb0fa16e2b13d7020b3

Pith citing papers

No inbound Pith citation observations are available.