Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:14.805685Z
Paper Citation Record · LEDGER
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution
As of 14 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2506.01231.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved37
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cca6c2f0-b1b1-475f-866e-bc811d89329d · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:54:24.284290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c5ffd95f-559f-46fa-8a63-d1831984b15f · outbound
This paper cites Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:24.139600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 363d6c2a-8f73-4a92-969b-6b43afc0e38d · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:54:24.010375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 618cd6b7-3f21-4770-9678-e43fb9700829 · outbound
This paper cites Residual Gated Graph ConvNets.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Residual Gated Graph ConvNets
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3435830c-4232-4f0d-be8b-abbcbd1d8a14 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b73c4100-b5b5-458d-8423-501d6be07242 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:54:23.697327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ebe1d700-d7d7-4b4c-b257-961b60486c67 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 803e17b4-586f-499c-b839-aab15b6d56df · outbound
This paper cites Colwell, and Adrian Weller.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Colwell, and Adrian Weller
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:23.285073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f0de5c9d-9a78-4e9b-ba12-cafa79c175f2 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 9
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cdacfff-2344-480c-91ac-bc42b6730a04 · outbound
This paper cites Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, and Xavier Bresson.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Joshi, Anh Tuan Luu, Thomas Laurent, Yoshua Bengio, and Xavier Bresson
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:22.838615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1ecdaea2-3ad2-4ba1-9b7c-ff16bb58b6ae · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T11:54:22.579666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 46aacc99-80dc-4bd3-a55e-3f46b41882a3 · outbound
This paper cites Schoenholz, Patrick F.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Schoenholz, Patrick F
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:22.270160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 00bb5794-1d58-4a66-86a4-0ddf43aa6ad1 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation da79524a-9885-4390-b43a-ec1361a18055 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 14
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3ab00b9a-9b01-406c-aa47-f599e02cf763 · outbound
This paper cites Hirsch and Stephen Smale.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Hirsch and Stephen Smale
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:21.724020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a2c7cf4-7aa0-4980-a6f2-da6e5d10601c · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6fbdb498-e75b-451c-8a9c-abc767a56b03 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f951bfe9-24dc-47c7-9bdf-d4f7634d4823 · outbound
This paper cites Pande, and Jure Leskovec.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Pande, and Jure Leskovec
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:21.249369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f5a48c2d-9f21-4d80-8d5f-de40a91d3170 · outbound
This paper cites Zaki, and Dharmashankar Subramanian.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Zaki, and Dharmashankar Subramanian
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:21.110560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3254004f-cf80-42b3-b4a0-7b27eb3f7735 · outbound
This paper cites Kipf and Max Welling.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Kipf and Max Welling
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54ebd1eb-f7c5-453b-80d8-55876826f6eb · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c7d5eb8f-32ca-47af-bb4d-fe784cd7809e · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38711710-a0b8-4365-904d-aa3f377ee8a0 · outbound
This paper cites DeeperGCN: All You Need to Train Deeper GCNs.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution DeeperGCN: All You Need to Train Deeper GCNs
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67d2b089-53e6-4688-8748-7447911fc1ac · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4f25d4d2-5f1e-4f97-bded-bb9bef64f6bf · outbound
This paper cites Doka- nia, Mark Coates, Philip Torr, and Ser-Nam Lim.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Doka- nia, Mark Coates, Philip Torr, and Ser-Nam Lim
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:20.490842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7ec915eb-a5b9-4c26-9e75-e059ca2aced6 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1f8f8c7b-8277-415a-bc60-5bbf9a152907 · outbound
This paper cites Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aaf9c78-4283-4f0d-a9a6-73840a4cda63 · outbound
This paper cites Guan, Barret Zoph, Quoc V.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Guan, Barret Zoph, Quoc V
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f92b1b76-770d-4c74-92f0-a1a056be7e29 · outbound
This paper cites To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
Reference 29
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 884b831d-9b04-44cd-93a2-bdc3da8afcf7 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution 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 2026-08-14T06:32:32.682623+00:00.
Observation 7278f64d-40a3-4e28-8934-f14395c446af · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 743b7b8f-b5d6-4a5e-ab63-9ecaec3138db · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d5797e89-2bb3-4eb4-8985-4571736a2c03 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a1ab663a-5621-4660-b98e-e19627479be0 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 54f69ece-1507-4985-b05f-036b9d3a3dc1 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3063c5fc-7604-4401-bf20-d6a7b250115c · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d282b6a0-3a75-49c1-8e7a-8b74825d0e03 · outbound
This paper cites Bronstein.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Bronstein
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a3de934a-cc26-4021-bfbb-0f536a990882 · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0b1243ff-7a5f-49b6-8897-71a4426b29e4 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3db4b27d-1b3f-4256-b959-422fb8fb1598 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aa6beb56-a757-454c-8b95-200b90acf26a · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0d2adeaa-39d9-488b-ac7a-cc9aafeee296 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f016c62e-ba14-4176-be13-45504c75e98f · outbound
This paper cites Wright, Azalia Mirhoseini, Joseph E.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Wright, Azalia Mirhoseini, Joseph E
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0d821414-1abd-4be1-bcd4-f97c92a12bef · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d81f57a3-0fca-4d75-b048-ace74ddb81b7 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 45
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d1a1d9b9-2914-444c-bc32-d2e8eaebfdb6 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e6782b17-46bd-4681-8799-5c74475e2b03 · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2e6a5be1-c008-45b1-a341-121dcaa28e00 · outbound
This paper cites Design Principle Transfer in Neural Architecture Search via Large Language Models.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Design Principle Transfer in Neural Architecture Search via Large Language Models
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e3c1da5-f68b-40d2-bc64-fdf1a378e59e · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8256b085-0894-4bb2-8e70-677a18fed55d · outbound
This paper cites an unresolved cited work.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2345666a-6bf9-4192-b49a-1e876e3219be · outbound
This paper cites InProceedings of the Advances in Neural Information Processing Systems.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution InProceedings of the Advances in Neural Information Processing Systems
Reference 2020
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 291c703b-07f0-4c31-9ace-6fa6e5f48ca7 · outbound
This paper cites InProceedings of the International Conference on Machine Learning.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution InProceedings of the International Conference on Machine Learning
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:15.965114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2f2f3b8f-f096-4dc8-8bc7-50b70f3ccea4 · outbound
This paper cites InProceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution InProceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:54:23.515418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.