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Paper Citation Record · LEDGER

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2412.15589.

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

pith.paper-citation-record.v1
2412.15589 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:22:40.866105Z

measured 54 of 54 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:59.303994Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T11:38:59.486794Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0a59473-54c9-4d4c-8150-d42ab2a0827a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.502417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.502417Z digest=sha256:1dfb43598b6139e983a19a435ad30dff3f045f97ac217e2404bdf9ffa9e7b1ed

Observation 33a482e8-e5a1-4367-8923-9026e3dbecab · outbound

This paper cites write newline.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.511054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.511054Z digest=sha256:a5b30a35eb2b050e7a2c9df85b8b19aa353df588e7e10e676392d78aeaf0a463

Observation f8126605-e86e-41ad-8df8-b2adf3b958e6 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.951258Z

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=arxiv_source observed=2026-08-11T11:22:40.518950Z digest=sha256:e47c11c0c0caaa7a04f23cde53bd649dfa4daba8d2a0e56badd4107d8a3e3d0a

Observation bf13aec0-150b-4a95-9395-7810c69085dd · outbound

This paper cites A.; Fischer, I.; Dillon, J.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck A.; Fischer, I.; Dillon, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.932325Z

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=arxiv_source observed=2026-08-11T11:22:40.525686Z digest=sha256:a869e1f59228eb14f9bbc0d7f873517cdfb187f823b7cf7af669784e5875b0b1

Observation e1d5c8f3-8c1d-47c8-94b6-b1b84c25caa8 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.915146Z

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=arxiv_source observed=2026-08-11T11:22:40.531402Z digest=sha256:38325a696ca74440bebc0d2840fac97726748f1787fbd680ecd29d1e22439564

Observation c95e1441-4505-424f-958a-3f609de8ee9b · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.896826Z

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=arxiv_source observed=2026-08-11T11:22:40.537006Z digest=sha256:ffae60e36730c6e3fafb68ebad1deebfa72d3b4acd857066c60c72bfdf441f09

Observation 1cef010b-c97a-475f-9f34-87fcaa6a61b0 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.878266Z

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=arxiv_source observed=2026-08-11T11:22:40.544171Z digest=sha256:3cc74ba39bdf6fccd04db04de4fdb5bae31d50425209b5f3d8c61afd493e841a

Observation ef425f6d-a666-43af-b1a7-1a4039392b94 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.551122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.551122Z digest=sha256:c24409e1d8027d1a9305afd2c850632237cd57d7178933efc6a9953d81b6fe77

Observation 4e922c49-270b-4a0d-b217-47bec860617b · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.844799Z

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=arxiv_source observed=2026-08-11T11:22:40.559318Z digest=sha256:b9b0c12990dacc28919d5e403d749e0b39fa76898b45641dbfbc3b42cb754aa5

Observation f337d427-11e7-442a-a450-411ccfe13969 · outbound

This paper cites P.; and Bresson, X.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck P.; and Bresson, X

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.826345Z

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=arxiv_source observed=2026-08-11T11:22:40.565018Z digest=sha256:1bfa10bf2eb1994eeceed0180db7f3a776444c156d0a678151c8d41e10847f82

Observation 7cb13b79-d1de-459f-a8c1-f7e783e107e9 · outbound

This paper cites P.; Ramp \' a sek, L.; Galkin, M.; Parviz, A.; Wolf, G.; Luu, A.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck P.; Ramp \' a sek, L.; Galkin, M.; Parviz, A.; Wolf, G.; Luu, A

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.807672Z

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=arxiv_source observed=2026-08-11T11:22:40.570784Z digest=sha256:c34f85fada3950328e46a5c2b526ce7b5a9c1fbd8e40d758aa7efa6567c2bd61

Observation 805e6ff8-a381-47e5-be29-7aded4d3bf04 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.790541Z

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=arxiv_source observed=2026-08-11T11:22:40.577275Z digest=sha256:a081170ebe8117a0108c5eb4637da1d842f920d975e7752202ac606bdb06e921

Observation 2e373d26-7ff3-4fad-bd02-d14938d3bab4 · outbound

This paper cites S.; Riley, P.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck S.; Riley, P

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.770151Z

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=arxiv_source observed=2026-08-11T11:22:40.584253Z digest=sha256:c497bf0dbcc62b00912a1b66f2570a116b0f8a66cc8f52814d839b826c4c92b8

Observation 9d60b16c-2659-4678-a740-cb72c9e0c564 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.752544Z

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=arxiv_source observed=2026-08-11T11:22:40.591097Z digest=sha256:03c957ae0c81baf54ce19c44a9f92e52eecb7dadaedc48a68b17d2616d7ab17e

Observation 8c3a32c7-52a5-44d3-82dd-935c40eec44b · outbound

This paper cites L.; Ying, Z.; and Leskovec, J.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck L.; Ying, Z.; and Leskovec, J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.735229Z

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=arxiv_source observed=2026-08-11T11:22:40.597879Z digest=sha256:1a4704edf6ce9e052cf6769ec8c83a60ca0148344e5df7f74d829efa38f19f0a

Observation 44cc96b9-ce5e-4515-b435-a01bf2a2400a · outbound

This paper cites L.; Ying, Z.; and Leskovec, J.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck L.; Ying, Z.; and Leskovec, J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.717756Z

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=arxiv_source observed=2026-08-11T11:22:40.605120Z digest=sha256:923bedf0b78ada247bfb98dcdb6c9da8b93db79d4096946c75145363c97655e7

Observation e8558f40-427f-4571-8baa-e7385df85716 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.699343Z

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=arxiv_source observed=2026-08-11T11:22:40.611221Z digest=sha256:855d3ba4835c1e024cccc0a7d5acdaec36bbabdba64bcf4b0b9c5b155e2245ef

Observation 8db8b623-d67a-46a5-bd1e-e8a85aad6e79 · outbound

This paper cites T.; Jeon, H.-J.; You, E.-S.; Yoon, Y.; Jung, S.; and Lee, O.-J.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck T.; Jeon, H.-J.; You, E.-S.; Yoon, Y.; Jung, S.; and Lee, O.-J

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.681966Z

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=arxiv_source observed=2026-08-11T11:22:40.617244Z digest=sha256:ac4747d9aeb049314b05b2e1c00654319fe424d11d2736861dd8751045724e8e

Observation 539c9ba6-ba07-45c7-9998-50980c3d6ef4 · outbound

This paper cites T.; and Lee, O.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck T.; and Lee, O

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.661350Z

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=arxiv_source observed=2026-08-11T11:22:40.622929Z digest=sha256:f4443560dbf3110246f786c2d9b5204548c4c64c599aea1d16a03d1c1c3a2064

Observation 95f47e66-2b00-4b08-bd66-f369be3a2e11 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.642506Z

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=arxiv_source observed=2026-08-11T11:22:40.629987Z digest=sha256:7f10579efa3496fb05a87db959b7c8670bab127417bccdcb3cab6cef37367344

Observation cfa155d1-a8f9-49dd-96f6-13b90f82d3ab · outbound

This paper cites S.; and Leskovec, J.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck S.; and Leskovec, J

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.624891Z

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=arxiv_source observed=2026-08-11T11:22:40.636056Z digest=sha256:c0dd88213b1a90e39eeb0b7896510ef0049251779d8a868956f447fcdf0e4d1f

Observation cbc423e6-42bd-44b5-9506-0dab7d827c53 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.607151Z

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=arxiv_source observed=2026-08-11T11:22:40.641345Z digest=sha256:b58d8b43a8c9f61f578df783170fcd4c4e7c71acf80e789b8a80b8320737ab71

Observation 577aa060-dffd-4c00-8613-71677ca6a197 · outbound

This paper cites Motif-aware Attribute Masking for Molecular Graph Pre-training.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Motif-aware Attribute Masking for Molecular Graph Pre-training

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.646470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.646470Z digest=sha256:f50257b91604c9aa8661b8d897e8ee3f0e332012f446e56784749da5dffd98a7

Observation e6d2ce28-ba39-4602-9070-b6763d679162 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.588518Z

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=arxiv_source observed=2026-08-11T11:22:40.653430Z digest=sha256:904f9907ffbf8677392f8a8a6d41675fdc6b2b44bb6eeba78565b9b37639ee80

Observation 8419dc85-974c-4728-90f1-f32e4993cdee · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.568750Z

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=arxiv_source observed=2026-08-11T11:22:40.662281Z digest=sha256:890bb7557baec1ca20213b8f8f323cd1691b5c1c459737e9117607774d6676d7

Observation 46b30a48-2ae7-40fb-9561-aae4ad80d8a2 · outbound

This paper cites S.; and Riley, P.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck S.; and Riley, P

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.549924Z

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 10ab1f78-0dfa-4572-b2d2-35687f903467 · outbound

This paper cites N.; and Welling, M.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck N.; and Welling, M

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.531052Z

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=arxiv_source observed=2026-08-11T11:22:40.675570Z digest=sha256:000c7ecad27bac17867586c9be024cded38e694ba2efe255306d41118af02a5e

Observation 3e76d4ce-85d9-4d5f-9680-4f992c29057a · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.512154Z

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=arxiv_source observed=2026-08-11T11:22:40.682621Z digest=sha256:baafb3e8c77a7259c1fede92bbe1f6f86ec403eef7c610929dedaf6f1f8af854

Observation e3f81350-6be4-46ce-b32b-c90eb10b83aa · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.491449Z

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=arxiv_source observed=2026-08-11T11:22:40.689352Z digest=sha256:1a113b87a5f973930138bf5ae7c50e026f8a794f62ecb71faf45fddfc77af2da

Observation 2d1e8276-4b45-4c6d-925c-edf259558d06 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.473893Z

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=arxiv_source observed=2026-08-11T11:22:40.695603Z digest=sha256:a0341eb9b7df7428cc18e14b66ed3bfac405b57b79f474f87f6c82f8f6eb3f05

Observation 6abf9760-4adf-45a6-a973-f6885d134d23 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.455170Z

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=arxiv_source observed=2026-08-11T11:22:40.704289Z digest=sha256:91cad9f42d86678ec4abd73ba4deec56935746823c8b67f26a04a5db1960ec4d

Observation 6df57c68-0685-44df-b5ce-4392a5f052ae · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.435241Z

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=arxiv_source observed=2026-08-11T11:22:40.710954Z digest=sha256:ea8ca969ae2dcf9b952db06c900cddf3e042370f4c292c7f8a4b849503d2fe06

Observation 9ef6eb7a-ec77-43f2-b7c5-b956e8a6cf64 · outbound

This paper cites J.; Mnih, A.; and Teh, Y.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck J.; Mnih, A.; and Teh, Y

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.415173Z

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=arxiv_source observed=2026-08-11T11:22:40.717690Z digest=sha256:5023ba9ef5d3490f5b28c3522e913d6db3e8425f75ebaf9a328602bc43ff9bec

Observation 4f0f08ca-7d71-4135-a147-59c47991e205 · outbound

This paper cites M.; Bause, F.; Kersting, K.; Mutzel, P.; and Neumann, M.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck M.; Bause, F.; Kersting, K.; Mutzel, P.; and Neumann, M

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.393149Z

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=arxiv_source observed=2026-08-11T11:22:40.723204Z digest=sha256:386899968c53d7e4626638819e99024a55b059b4a69d90fbc7326efd6cc57bbd

Observation 6c46f39c-b2d6-4f75-9846-67dace55c78a · outbound

This paper cites E.; Kolouri, S.; Rostami, M.; Martin, C.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck E.; Kolouri, S.; Rostami, M.; Martin, C

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.369935Z

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=arxiv_source observed=2026-08-11T11:22:40.729708Z digest=sha256:b2af703e93ca8ec228a48f0747abf27570f3695d231b97acd82e802fb804b2ee

Observation e82278cf-50ad-4421-befb-2e604e518021 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.343216Z

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=arxiv_source observed=2026-08-11T11:22:40.735491Z digest=sha256:75b49f46d441cf02cb60cb0b34a4a72e2aa72153898c77fdd2b5c800a8acd8f7

Observation 41716e5f-1ae2-4e16-a44e-2f3f4a393d45 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.317022Z

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=arxiv_source observed=2026-08-11T11:22:40.743506Z digest=sha256:cbbe40eb32ac8f2cd755ae41a02f97fd3d0e3e8b11ed9ffb5674837988f0d3df

Observation 022fbeca-8a4d-4883-838d-43448befa652 · outbound

This paper cites a rk, H.; Beaini, D.; Corso, G.; Tossou, P.; Dallago, C.; G \.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck a rk, H.; Beaini, D.; Corso, G.; Tossou, P.; Dallago, C.; G \

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.292464Z

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=arxiv_source observed=2026-08-11T11:22:40.754294Z digest=sha256:ace625a65d8e4bf40f1c1cea5b99ea8b76a9c1626d1028e0268684b4300c1ef2

Observation 51be26d3-60c2-45c9-a7ef-00f7fde4fa60 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.761715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.761715Z digest=sha256:e0e5d337a49fad4474747faeb6bf2257b4ceb85ceafd406f4294023763a89a92

Observation b2d1d4f4-40f5-4a4a-b5fa-455c87963eb1 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.254800Z

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=arxiv_source observed=2026-08-11T11:22:40.770169Z digest=sha256:2bef5039532c35e893511b01fca10a0eb8f78fbe84644adc9bb66bc8314ac0be

Observation 534522a1-bee7-4392-83c4-ea4b9c487e49 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.227107Z

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=arxiv_source observed=2026-08-11T11:22:40.778086Z digest=sha256:7bc7716b1c5b199da149352e018ef095977ae8dc475f5f4688afb6e5be4ff77c

Observation 1abdbe7e-4579-45a4-ae4c-40305ce3ea06 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.200781Z

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=arxiv_source observed=2026-08-11T11:22:40.785440Z digest=sha256:3c223feb00d45f5f8e0e891e13ceea9c3d69257c76c6cc30c8595dedd86cb50d

Observation 8a2ba055-37cc-4660-950e-eedca1a09892 · outbound

This paper cites L.; Li \` o , P.; Bengio, Y.; and Hjelm, R.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck L.; Li \` o , P.; Bengio, Y.; and Hjelm, R

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:22:41.176565Z

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=arxiv_source observed=2026-08-11T11:22:40.792124Z digest=sha256:ce9a8856f842cc98c3f7bf748cca291b4b21ccf20a60e0130e8b5bf03e496515

Observation 88bffcee-53a3-419d-af80-938ab160a789 · outbound

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

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.799737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.799737Z digest=sha256:e9582a56911f1325d25968a8f34883640ecaaebcaeacda4687775df04519ef3b

Observation 053ac195-805e-44ac-a02d-fc7751794fe2 · outbound

This paper cites N.; Gomes, J.; Geniesse, C.; Pappu, A.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck N.; Gomes, J.; Geniesse, C.; Pappu, A

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.806097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.806097Z digest=sha256:dd78a55b2d04952593235b107eb72bd77c4deb43d516d4d3120fad894892e8a8

Observation 79929c61-5819-4d71-94f4-c14f2dbd8f48 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.133425Z

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=arxiv_source observed=2026-08-11T11:22:40.812237Z digest=sha256:7f0d3bc1185733e0280676617053095e3e20f8c08bc272b6813256057c746fdb

Observation 8e587dcd-19a6-4be5-9ded-3c629f78bfc6 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.111384Z

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=arxiv_source observed=2026-08-11T11:22:40.819342Z digest=sha256:54281859c5d74b7834565353280741ef6f2821ba50656807379eac9b200e008d

Observation 479d1af6-9957-47a5-aadc-e0a602aff541 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.077304Z

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=arxiv_source observed=2026-08-11T11:22:40.825517Z digest=sha256:ad6a27eab563fb476671be1b95e3e705a81294cc20c532b6a320c20c70866e8c

Observation eac665b5-7e88-419a-a76d-329e58e470b6 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.053064Z

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=arxiv_source observed=2026-08-11T11:22:40.835339Z digest=sha256:6247a667cccd1352d7c1a5d46d8785e49c014e8efd3b36bbb6bfff44cdf9409d

Observation 92b132f9-4803-4c88-92bb-994c2014dc0e · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.032761Z

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=arxiv_source observed=2026-08-11T11:22:40.842749Z digest=sha256:3d4c7f96941725ce47deb7994a0c7ff4a68aafe6985a79d08ff8440dd7d74fbc

Observation 861c1ee7-9acf-46a0-9dbb-c25c4f82a94d · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:41.011997Z

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=arxiv_source observed=2026-08-11T11:22:40.850062Z digest=sha256:04c32d3d39c041a324c3f9e40f48405b73523e8cde63c6422fd42045afaccbbf

Observation 455f5ac5-7bda-4d74-9928-7d398ca29f16 · outbound

This paper cites Graph-Bert: Only Attention is Needed for Learning Graph Representations.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Graph-Bert: Only Attention is Needed for Learning Graph Representations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T11:22:40.859231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:22:40.859231Z digest=sha256:b364dc7addb639809a2e23b7484cb2113a56b0cafec6f0c493cdcb43caa1668a

Observation caa1102e-682d-4cbb-98c8-c49c9b6e0456 · outbound

This paper cites an unresolved cited work.

Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:22:40.991725Z

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=arxiv_source observed=2026-08-11T11:22:40.866105Z digest=sha256:4a5308b153a6338fa895f6835872427dc661c37ce4fb20043450b8124189ef5e

Pith citing papers

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

Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention cites this paper.

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
verified exact
local_arxiv, observed 2026-08-16T11:38:59.492182Z

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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