Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:14.805685Z
Paper Citation Record · LEDGER
As of 8 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:14.805685Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation cca6c2f0-b1b1-475f-866e-bc811d89329d · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 1
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Pearlmutter, Alexey Andreyevich Radul, and Jeffrey Mark Siskind
Reference 2
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Reference 3
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Residual Gated Graph ConvNets
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 5
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Colwell, and Adrian Weller
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Reference 9
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Observation 8cdacfff-2344-480c-91ac-bc42b6730a04 · outbound
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
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Schoenholz, Patrick F
Reference 12
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 13
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 14
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Hirsch and Stephen Smale
Reference 15
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Observation 7a2c7cf4-7aa0-4980-a6f2-da6e5d10601c · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 16
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 17
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Pande, and Jure Leskovec
Reference 18
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Zaki, and Dharmashankar Subramanian
Reference 19
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Kipf and Max Welling
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Observation 54ebd1eb-f7c5-453b-80d8-55876826f6eb · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 21
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 22
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution DeeperGCN: All You Need to Train Deeper GCNs
Reference 23
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 24
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Doka- nia, Mark Coates, Philip Torr, and Ser-Nam Lim
Reference 25
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 26
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Observation 1f8f8c7b-8277-415a-bc60-5bbf9a152907 · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Graph Neural Networks Exponentially Lose Expressive Power for Node Classification
Reference 27
Source-reported events for the cited work
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Observation 9aaf9c78-4283-4f0d-a9a6-73840a4cda63 · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Guan, Barret Zoph, Quoc V
Reference 28
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Observation f92b1b76-770d-4c74-92f0-a1a056be7e29 · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution To Share or Not To Share: A Comprehensive Appraisal of Weight-Sharing
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 30
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 36
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Gomez, Lukasz Kaiser, and Illia Polosukhin
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Reference 39
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
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Reference 47
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Design Principle Transfer in Neural Architecture Search via Large Language Models
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Observation 8e3c1da5-f68b-40d2-bc64-fdf1a378e59e · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 49
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Unresolved cited work
Reference 50
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Observation 2345666a-6bf9-4192-b49a-1e876e3219be · outbound
Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution InProceedings of the Advances in Neural Information Processing Systems
Reference 2020
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Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution InProceedings of the International Conference on Machine Learning
Reference 2021
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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
Source-reported events for the cited work
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No inbound Pith citation observations are available.