Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Supervised Learning on Relational Databases with Graph Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2002.02046.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:42.054459Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:09:37.816238Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation da3d7cad-6adf-4870-90c3-fea4d833f36f · inbound
Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.
Retrieval-Augmented Generation with Graphs (GraphRAG) Supervised Learning on Relational Databases with Graph Neural Networks
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T04:33:39.388266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation de2f074e-a042-411f-8ad3-7a94e35d1bc4 · inbound
From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs cites this paper.
From Features to Structure: Task-Aware Graph Construction for Relational and Tabular Learning with GNNs Supervised Learning on Relational Databases with Graph Neural Networks
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:42.054459Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e21db35-2144-468d-b8bf-3bc2b28fbd40 · inbound
Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases cites this paper.
Rel-HNN: Split Parallel Hypergraph Neural Network for Learning on Relational Databases Supervised Learning on Relational Databases with Graph Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:49:09.070444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6e20550-72de-47e5-82d6-728d75fbd76d · inbound
Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases cites this paper.
Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases Supervised Learning on Relational Databases with Graph Neural Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:17:47.524374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 732e6695-ee00-4c37-92b0-790cc2b48d12 · inbound
Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets cites this paper.
Graph-Based Feature Augmentation for Predictive Tasks on Relational Datasets Supervised Learning on Relational Databases with Graph Neural Networks
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:46:18.518343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dcdfff85-8cae-4d7c-ab65-ba7ed46b965a · inbound
No Need to Train Your RDB Foundation Model cites this paper.
No Need to Train Your RDB Foundation Model Supervised Learning on Relational Databases with Graph Neural Networks
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:33:31.051675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4dfeaad6-79c6-4789-9769-31b04d754cde · inbound
From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics cites this paper.
From Schema to Signal: Retrieval-Augmented Modeling for Relational Data Analytics Supervised Learning on Relational Databases with Graph Neural Networks
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T01:59:38.616267Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation db847170-d887-44db-adc4-6a8b03d39f73 · inbound
Gaussian Relational Graph Transformer cites this paper.
Gaussian Relational Graph Transformer Supervised Learning on Relational Databases with Graph Neural Networks
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:03:43.303705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 200bf3b0-2a7f-4830-8364-c974c5607fdd · inbound
RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases cites this paper.
RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases Supervised Learning on Relational Databases with Graph Neural Networks
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T05:05:22.324723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation bba07e8f-7e49-40d6-8514-fb6b381c1da0 · inbound
What Makes a Desired Graph for Relational Deep Learning? cites this paper.
What Makes a Desired Graph for Relational Deep Learning? Supervised Learning on Relational Databases with Graph Neural Networks
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T22:47:26.245471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 04447956-13f8-4c7d-a15d-9f545aa2a28c · inbound
Universal Encoders for Modular Relational Deep Learning cites this paper.
Universal Encoders for Modular Relational Deep Learning Supervised Learning on Relational Databases with Graph Neural Networks
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:09:37.817899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3700f26a-86ed-4847-87f7-d59ba028c00e · inbound
A Fair Benchmarking of Deep Relational Database Learning Models cites this paper.
A Fair Benchmarking of Deep Relational Database Learning Models Supervised Learning on Relational Databases with Graph Neural Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T00:51:47.860356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dab1c6fc-5ca8-42bc-b325-b98f32085824 · inbound
Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.
Parameter-Free Encoders Remain Viable for RDB Foundation Models Supervised Learning on Relational Databases with Graph Neural Networks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T11:47:14.742492Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5105448-a8f9-493e-92a8-c6d02e50baab · inbound
Parameter-Free Encoders Remain Viable for RDB Foundation Models cites this paper.
Parameter-Free Encoders Remain Viable for RDB Foundation Models Supervised Learning on Relational Databases with Graph Neural Networks
Reference 2026
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:36:02.245898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.