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Paper Citation Record · LEDGER

A Survey on Graph Structure Learning: Progress and Opportunities

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2103.03036.

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

pith.paper-citation-record.v1
2103.03036 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:32.802798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.263178Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5aaf54f7-09c3-41a7-8316-d89b541842ad · inbound

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving cites this paper.

Curb Your Attention: Causal Attention Gating for Robust Trajectory Prediction in Autonomous Driving A Survey on Graph Structure Learning: Progress and Opportunities

Reference 9

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arxiv_id, observed 2026-05-23T20:23:24.584965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ebb675e1-01b4-430a-ae80-2d4383555104 · inbound

Federated Graph Learning with Graphless Clients cites this paper.

Federated Graph Learning with Graphless Clients A Survey on Graph Structure Learning: Progress and Opportunities

Reference 44

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source=arxiv_source observed=2026-08-12T21:44:07.686101Z digest=sha256:5596be98884d7ab7007a283baa254785bc91323a0431ceaf73b8b31ac1f7339e

Observation 74cb2df7-b5ef-4d70-8849-1bca5f2a2684 · inbound

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models cites this paper.

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models A Survey on Graph Structure Learning: Progress and Opportunities

Reference 54

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no resolver link, observed 2026-08-11T18:14:49.859640Z

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Observation 0c71e776-75d6-4ba0-9676-c265b247a8d7 · inbound

Graph Structure Refinement with Energy-based Contrastive Learning cites this paper.

Graph Structure Refinement with Energy-based Contrastive Learning A Survey on Graph Structure Learning: Progress and Opportunities

Reference 78

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no resolver link, observed 2026-08-11T11:25:03.410618Z

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source=arxiv_source observed=2026-08-11T11:25:03.410618Z digest=sha256:5467a3df1e570b31173bccafa3309118f17d6b8cee99d18ea11c9a084d240703

Observation 7f06eb76-89ec-4697-9069-dcd2854ee458 · inbound

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends cites this paper.

Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends A Survey on Graph Structure Learning: Progress and Opportunities

Reference 200

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no resolver link, observed 2026-08-10T21:46:02.664003Z

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Unavailable: canonical work link unavailable.

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Observation 1e5892be-e96a-4b00-acf3-0840a67286b7 · inbound

A Comprehensive Survey on Spectral Clustering with Graph Structure Learning cites this paper.

A Comprehensive Survey on Spectral Clustering with Graph Structure Learning A Survey on Graph Structure Learning: Progress and Opportunities

Reference 38

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no resolver link, observed 2026-08-10T15:49:55.616164Z

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Unavailable: canonical work link unavailable.

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Observation c9b7adb4-89ff-4b38-b944-5a1e88fe21f4 · inbound

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment cites this paper.

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment A Survey on Graph Structure Learning: Progress and Opportunities

Reference 11

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no resolver link, observed 2026-08-09T13:42:39.725882Z

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source=pdf_text observed=2026-08-09T13:42:39.725882Z digest=sha256:1f36989ca997ece8dcd185687ba93e54545197f0507ab606be0624d9ea7ba5b8

Observation ca4b5dc2-97a2-4500-9ed7-bb89ec50d484 · inbound

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting cites this paper.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting A Survey on Graph Structure Learning: Progress and Opportunities

Reference 20

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no resolver link, observed 2026-08-16T04:51:32.802798Z

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Unavailable: canonical work link unavailable.

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Observation 9c6683a0-1697-4317-8f55-676431345c66 · inbound

Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL cites this paper.

Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL A Survey on Graph Structure Learning: Progress and Opportunities

Reference 33

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no resolver link, observed 2026-08-15T22:42:09.977096Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:42:09.977096Z digest=sha256:dc8d692cf3955fd8e2c6840769bf4b4eeb4982df27418329b0e6b9f4a6c7ce6e

Observation d28a1919-eba6-4234-b0f6-53f4123789e9 · inbound

GraphFLEx: Structure Learning Framework for Large Expanding Graphs cites this paper.

GraphFLEx: Structure Learning Framework for Large Expanding Graphs A Survey on Graph Structure Learning: Progress and Opportunities

Reference 6

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no resolver link, observed 2026-08-15T20:42:42.712336Z

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Unavailable: canonical work link unavailable.

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Observation 054ab4ec-86b4-4ded-8fe2-c161ad5b7056 · inbound

Finding the Cores of Higher Graphs Using Geometric and Topological Means: A Survey cites this paper.

Finding the Cores of Higher Graphs Using Geometric and Topological Means: A Survey A Survey on Graph Structure Learning: Progress and Opportunities

Reference 157

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no resolver link, observed 2026-08-07T05:20:38.463308Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:20:38.463308Z digest=sha256:ff9591e2d6b9022ed4dc37947cdc40c07833e93635bc8230a3bfcaf8ea990abd

Observation f3e29ddb-7824-4d06-be7c-e31372fb8322 · inbound

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects cites this paper.

Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects A Survey on Graph Structure Learning: Progress and Opportunities

Reference 92

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no resolver link, observed 2026-08-06T12:52:01.648049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10d87b4a-d667-46c8-9535-c829892f0597 · inbound

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach cites this paper.

When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach A Survey on Graph Structure Learning: Progress and Opportunities

Reference 60

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arxiv_id, observed 2026-05-18T08:46:07.783019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 968e3326-8dd8-482d-b910-9e5d4be747ae · inbound

Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization cites this paper.

Dynamic Elliptical Graph Factor Models via Riemannian Optimization with Geodesic Temporal Regularization A Survey on Graph Structure Learning: Progress and Opportunities

Reference 32

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verified exact
arxiv_id, observed 2026-05-20T12:18:16.320437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 77202f24-f6ff-4f13-94e8-d5c60676cff4 · inbound

Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning cites this paper.

Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning A Survey on Graph Structure Learning: Progress and Opportunities

Reference 73

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arxiv_id, observed 2026-05-21T05:13:58.619021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-21T05:10:09.004559Z digest=sha256:bd140c3d6de5ee11f8209324332b712fc791c5613228d3cdf4002677058f0c59

Observation ef871b70-d7d0-42e3-89f1-36c6c886f95f · inbound

Blind Recovery of Latent Domains via Unsupervised Symmetry Discovery cites this paper.

Blind Recovery of Latent Domains via Unsupervised Symmetry Discovery A Survey on Graph Structure Learning: Progress and Opportunities

Reference 35

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arxiv_id, observed 2026-07-03T19:08:50.265016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8f85cb3f-91f8-4605-be8e-a48e2217f8b9 · inbound

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation cites this paper.

OpenRTAG: A Comprehensive Benchmark for Robust Text-Attributed Graph Learning under Data Quality Degradation A Survey on Graph Structure Learning: Progress and Opportunities

Reference 15

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no resolver link, observed 2026-08-01T13:29:52.052843Z

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Observation 17086945-8cc3-43e4-acfa-b71a7d3ee6f9 · inbound

ReGraph: Learning to Generate Recipe Graphs from Food Images cites this paper.

ReGraph: Learning to Generate Recipe Graphs from Food Images A Survey on Graph Structure Learning: Progress and Opportunities

Reference 42

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no resolver link, observed 2026-08-10T18:29:02.835408Z

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Observation 2461f643-1cb1-450a-a681-3ed2b56afb29 · inbound

Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning cites this paper.

Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning A Survey on Graph Structure Learning: Progress and Opportunities

Reference 34

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Unavailable: canonical work link unavailable.

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Observation d441d635-6e2b-4411-9f34-c66d4ec8a348 · inbound

AutoGrable: What Is a Good Graph for a Table? cites this paper.

AutoGrable: What Is a Good Graph for a Table? A Survey on Graph Structure Learning: Progress and Opportunities

Reference 33

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no resolver link, observed 2026-08-15T14:18:38.794658Z

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