Paper Citation Record · LEDGER

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2502.09781.

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

pith.paper-citation-record.v1
2502.09781 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:32:51.094822Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:32:42.829788Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T06:16:20.510975Z

Reference resolution

45 of 45 outbound references displayed

verified exact9
verified fuzzy12
unresolved19
parse uncertain0
malformed identifier3
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46ad7af5-1602-4eff-9f77-c99884db9a1b · outbound

This paper cites Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.883726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6083cfc0-8a51-4bdf-960b-91a8da9d8d2c · outbound

This paper cites A Comprehensive Survey on Graph Neural Networks,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey A Comprehensive Survey on Graph Neural Networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.134744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f59d87ab-b1b4-4263-a32b-0f51bb1d90fa · outbound

This paper cites A new model for learning in graph domains,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey A new model for learning in graph domains,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.117438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e393c852-7b0c-486e-9751-7b6db49b979f · outbound

This paper cites The Graph Neural Network Model,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey The Graph Neural Network Model,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.100702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6d71395-9c38-4416-bac7-40abdf33344d · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Semi-supervised classification with graph convolutional networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.083986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 254ff65c-3559-4278-97de-2be8150fb7ba · outbound

This paper cites Graph Attention Networks,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Graph Attention Networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.066141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd3838e4-7e7d-4a3c-9d6b-a0274ff53192 · outbound

This paper cites Gated Graph Sequence Neural Networks,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Gated Graph Sequence Neural Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.048939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75135385-6bac-4d3c-ad04-b0a6a2240fcf · outbound

This paper cites Neural Message Passing for Quantum Chemistry,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Neural Message Passing for Quantum Chemistry,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.030789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03380ae2-85a0-4b53-b1f8-b5de733cc0ca · outbound

This paper cites Spectral Networks and Locally Connected Networks on Graphs.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Spectral Networks and Locally Connected Networks on Graphs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.922234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b874c33a-d791-406c-98dc-88dfea95c854 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Convolutional neural networks on graphs with fast localized spectral filtering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:53.011001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a39fb7f7-b6a8-4bfa-946f-76700bc24aa0 · outbound

This paper cites The PRISMA 2020 statement: an updated guideline for reporting systematic reviews,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey The PRISMA 2020 statement: an updated guideline for reporting systematic reviews,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.931452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30d27c7f-6113-4338-b875-e0dc7168dc6f · outbound

This paper cites Graph neural networks for clinical risk pre- diction based on electronic health records: A survey,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Graph neural networks for clinical risk pre- diction based on electronic health records: A survey,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T20:32:52.809355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0df643e5-6c41-4cc4-8cbf-d9b8b0260934 · outbound

This paper cites Knowledge guided diagnosis prediction via graph spatial- temporal network.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Knowledge guided diagnosis prediction via graph spatial- temporal network

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.339768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f4a0dcbc-bc52-4589-9929-c1f14f575391 · outbound

This paper cites Multi-relational EHR representation learning with infusing information of Diagnosis and Medication,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Multi-relational EHR representation learning with infusing information of Diagnosis and Medication,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.946379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e943015f-805d-4ad5-ba28-7deb0642b5fc · outbound

This paper cites Online Disease Diagnosis with Inductive Heteroge- neous Graph Convolutional Networks,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Online Disease Diagnosis with Inductive Heteroge- neous Graph Convolutional Networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:52.991456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eceef867-f2e6-4752-a1ae-ff43a9cb0351 · outbound

This paper cites TAGNet: Temporal Aware Graph Con- volution Network for Clinical Information Extraction,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey TAGNet: Temporal Aware Graph Con- volution Network for Clinical Information Extraction,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.961153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb616ebe-48a8-4c51-a977-fabadd3f85ce · outbound

This paper cites The Graph-based Mutual Attentive Network for Automatic Diagnosis,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey The Graph-based Mutual Attentive Network for Automatic Diagnosis,

Reference 17

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T20:32:51.323766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c7be365e-105a-4832-8ccc-04b44bf13573 · outbound

This paper cites GuardHealth: Blockchain empow- ered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey GuardHealth: Blockchain empow- ered secure data management and Graph Convolutional Network enabled anomaly detection in smart healthcare,

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.307974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 544a531c-6584-43ce-8863-e68aa6f131b1 · outbound

This paper cites MIMIC-III, a freely accessible critical care database,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey MIMIC-III, a freely accessible critical care database,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.975962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ecb8b9d-cf37-4610-b3ba-8fdcdff2108c · outbound

This paper cites MIMIC-IV , a freely accessible electronic health record dataset,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey MIMIC-IV , a freely accessible electronic health record dataset,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.981138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 953ff578-df96-4574-aaac-7de5fd5b8f54 · outbound

This paper cites Hyperbolic graph convolutional neural network with contrastive learning for automated ICD coding,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Hyperbolic graph convolutional neural network with contrastive learning for automated ICD coding,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.986234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c6b3ac9-26ee-472b-a30f-d1d9aeb47f26 · outbound

This paper cites Knowledge-aware representation learning for diagnosis prediction,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Knowledge-aware representation learning for diagnosis prediction,

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.270899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df84da68-aad3-44f7-8331-95c173bd91cf · outbound

This paper cites Harmonized representation learning on dynamic EHR graphs,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Harmonized representation learning on dynamic EHR graphs,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.996270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d41b99a-4cbd-467b-99e7-8dfb2794bd3a · outbound

This paper cites Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg- GCRNs),.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg- GCRNs),

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.254695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3f68ae5d-cbe3-4cec-b038-516f2b51f8cc · outbound

This paper cites EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heteroge- neous Graph Convolutional Networks in Electronic Health Records,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey EHR-HGCN: An Enhanced Hybrid Approach for Text Classification Using Heteroge- neous Graph Convolutional Networks in Electronic Health Records,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.006138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebdb9e29-8e2c-4837-801a-9854a64723c8 · outbound

This paper cites A weakly supervised method for named entity recognition of Chinese electronic medical records,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey A weakly supervised method for named entity recognition of Chinese electronic medical records,

Reference 26

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.237142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e07a08e-89ce-4f4b-9b5b-9f64570aa492 · outbound

This paper cites Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Net- works for Assessing Semantic Textual Similarity: Model Development and Performance Comparison,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Incorporating Domain Knowledge Into Language Models by Using Graph Convolutional Net- works for Assessing Semantic Textual Similarity: Model Development and Performance Comparison,

Reference 27

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T20:32:51.218794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 75723afd-d03b-419c-b42d-217efd4f4370 · outbound

This paper cites Graph-guided deep hashing networks for similar patient retrieval,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Graph-guided deep hashing networks for similar patient retrieval,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.022561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc0c401-e11e-4952-8f14-26371934d5bd · outbound

This paper cites Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.028354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07e8c00c-743a-433d-84c6-dcc2d3e2b450 · outbound

This paper cites MedGCN: Medication recommendation and lab test imputation via graph convolutional networks,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey MedGCN: Medication recommendation and lab test imputation via graph convolutional networks,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.032812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8b62def-7958-4309-81ab-182c9f11a710 · outbound

This paper cites From electronic health records to terminol- ogy base: A novel knowledge base enrichment approach,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey From electronic health records to terminol- ogy base: A novel knowledge base enrichment approach,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.037106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4af23d41-4235-4518-ad5d-83ff97cf8fe6 · outbound

This paper cites A cross-modal clinical prediction system for intensive care unit patient outcome,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey A cross-modal clinical prediction system for intensive care unit patient outcome,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.041438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7f92371-3c51-4841-9fdd-24f3a968db33 · outbound

This paper cites Patient Electronic Health Record as Temporal Graphs for Health Monitoring,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Patient Electronic Health Record as Temporal Graphs for Health Monitoring,

Reference 33

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.202025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 03923728-9ad6-4867-9ca7-cebbf6229e98 · outbound

This paper cites Prediction of Transfusion among In-patient Population using Temporal Pattern based Clinical Similarity Graphs,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Prediction of Transfusion among In-patient Population using Temporal Pattern based Clinical Similarity Graphs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:52.970610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6ef1767d-45ba-4b3a-9627-878d06889aad · outbound

This paper cites Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study,

Reference 35

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T20:32:51.184576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d223418-60c7-4928-ad61-d0f577b599b9 · outbound

This paper cites Feature aggregation-based multi-relational knowledge reasoning for COPD intelligent diagnosis,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Feature aggregation-based multi-relational knowledge reasoning for COPD intelligent diagnosis,

Reference 36

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T20:32:51.673210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e617c62d-5a31-4ab7-be37-bdc50403969a · outbound

This paper cites HR-BGCN: Pre- dicting readmission for heart failure from electronic health records,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey HR-BGCN: Pre- dicting readmission for heart failure from electronic health records,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.063443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4243a8b5-4309-4b31-8fff-1a2cb685fc7e · outbound

This paper cites Causal knowledge graph construction and evalua- tion for clinical decision support of diabetic nephropathy,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Causal knowledge graph construction and evalua- tion for clinical decision support of diabetic nephropathy,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.068113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b7c61e-3d53-4978-ba0e-b64651b2603c · outbound

This paper cites Graph-based structural knowledge-aware network for diagnosis as- sistant,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Graph-based structural knowledge-aware network for diagnosis as- sistant,

Reference 39

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.167512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f5b20cd1-83c3-4f64-b6f9-2bd279a2f4bd · outbound

This paper cites DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey DeePaN: deep patient graph convolutional network integrating clinico-genomic evidence to stratify lung cancers for immunotherapy,

Reference 40

Resolution: verified exact; doi, observed 2026-08-07T20:32:51.149766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b6badeb-8a3f-4801-acea-8b07fce04ec9 · outbound

This paper cites Why do tree-based models still outperform deep learning on typical tabular data?,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Why do tree-based models still outperform deep learning on typical tabular data?,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:52.948768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5c9e687-a43e-49c9-b75e-25c3778d366e · outbound

This paper cites Deep Neural Networks and Tabular Data: A Survey,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Deep Neural Networks and Tabular Data: A Survey,

Reference 42

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-07T20:32:51.401840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f63ffafa-11c0-40b4-9817-4cb141b3c92b · outbound

This paper cites Converting tabular data into images for deep learning with convolutional neural networks.,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Converting tabular data into images for deep learning with convolutional neural networks.,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:32:52.929946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b9694b9-2187-4bff-bd08-95339aeecaf3 · outbound

This paper cites Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer,.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:51.094822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc36bb3c-6ca8-425e-a173-36f7fecdc4e6 · outbound

This paper cites an unresolved cited work.

Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey Unresolved cited work

Reference 3358

Resolution: unresolved; no resolver link, observed 2026-08-07T20:32:50.956146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 29099698-f433-4c12-959c-f877b2ba429d · inbound

MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records cites this paper.

MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records Medical Applications of Graph Convolutional Networks Using Electronic Health Records: A Survey

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:32:44.098263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.