MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph | Paper Citation Record

Observation c5edddf6-eeca-401b-881b-f939f3ffaab2 · outbound

This paper cites Recent advances in predictive modeling with electronic health records.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Recent advances in predictive modeling with electronic health records

Reference 1

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Observation c51f530d-b93f-4bcb-ba4a-7318664c6796 · outbound

This paper cites Developing multimodal healthcare foundation model: From data-driven to knowledge-enhanced.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Developing multimodal healthcare foundation model: From data-driven to knowledge-enhanced

Reference 2

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Observation 2417187b-0e4b-408d-a0fc-ef75ab9f840d · outbound

This paper cites Medpath: Augmenting health risk prediction via medical knowledge paths.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Medpath: Augmenting health risk prediction via medical knowledge paths

Reference 3

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Observation 6e93a688-c634-4b85-aec4-80992fbbdca1 · outbound

This paper cites Adverse drug reaction discovery using a tumor- biomarker knowledge graph.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Adverse drug reaction discovery using a tumor- biomarker knowledge graph

Reference 4

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Observation 792b8c5c-1d09-42d1-97d0-cb48e1dcf033 · outbound

This paper cites Prediction of adverse drug reactions based on knowledge graph embedding.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Prediction of adverse drug reactions based on knowledge graph embedding

Reference 5

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Observation 091e3d2d-f56c-4352-ba1b-3ab4e27ade64 · outbound

This paper cites Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records

Reference 6

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Observation 32224614-1654-48f0-a758-b7e961716694 · outbound

This paper cites CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning

Reference 7

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Observation d6822d81-c654-43a1-84fb-a35fa1b0bdda · outbound

This paper cites Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports

Reference 8

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Observation 948081b4-8d74-4f0b-b3b2-9957ade6cb3a · outbound

This paper cites The unified medical language system (umls): integrating biomedical terminology.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph The unified medical language system (umls): integrating biomedical terminology

Reference 9

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Observation 7826d937-f6d9-41e9-94b1-bd0d5f15889f · outbound

This paper cites Hierarchical pretraining on multimodal electronic health records.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Hierarchical pretraining on multimodal electronic health records

Reference 10

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Observation 85c4f72c-bb25-4915-b7ff-9c9d35076c96 · outbound

This paper cites Unity in diversity: Collaborative pre-training across multimodal medical sources.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Unity in diversity: Collaborative pre-training across multimodal medical sources

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:14.297709Z

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Observation 3a2a3ecd-989a-466b-bf27-02fe81e9d456 · outbound

This paper cites Raim: Recurrent attentive and intensive model of multimodal patient monitoring data.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Raim: Recurrent attentive and intensive model of multimodal patient monitoring data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:14.091624Z

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Observation ed54c823-d8e1-4fba-9cb3-abb9f69a549f · outbound

This paper cites Synthesizing multimodal electronic health records via predictive diffusion models.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Synthesizing multimodal electronic health records via predictive diffusion models

Reference 13

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Observation 5624da43-e618-4cf0-86f0-6258931427e9 · outbound

This paper cites Dcmn: Double core memory network for patient outcome prediction with multimodal data.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Dcmn: Double core memory network for patient outcome prediction with multimodal data

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:13.661815Z

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Observation 133556be-58b4-4b19-97f0-795c79e5fe4b · outbound

This paper cites Democratizing ehr analyses with fiddle: a flexible data-driven preprocessing pipeline for structured clinical data.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Democratizing ehr analyses with fiddle: a flexible data-driven preprocessing pipeline for structured clinical data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:13.360546Z

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Observation d761e99e-52fa-46b4-9169-b27fc1150681 · outbound

This paper cites How to Leverage Multimodal EHR Data for Better Medical Predictions?.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph How to Leverage Multimodal EHR Data for Better Medical Predictions?

Reference 16

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Observation f371ac5c-2b2a-46f3-8ab0-7e81cd6d71f3 · outbound

This paper cites padr: Towards personalized adverse drug reaction prediction by modeling multi-sourced data.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph padr: Towards personalized adverse drug reaction prediction by modeling multi-sourced data

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:13.108246Z

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Observation 570fefcc-bb59-4ad4-80d3-a45fb0d577e9 · outbound

This paper cites Llava-med: Training a large language-and-vision assistant for biomedicine in one day.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Llava-med: Training a large language-and-vision assistant for biomedicine in one day

Reference 18

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Observation e511984b-f705-49d6-a983-96a0a7439b0a · outbound

This paper cites Med-flamingo: a multimodal medical few-shot learner.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Med-flamingo: a multimodal medical few-shot learner

Reference 19

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Observation b7c6e607-3654-44dc-b868-03f72c11952d · outbound

This paper cites Knowledge-driven deep learning for fast mr imaging: Undersampled mr image reconstruction from supervised to un-supervised learning.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Knowledge-driven deep learning for fast mr imaging: Undersampled mr image reconstruction from supervised to un-supervised learning

Reference 20

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Observation e2958154-0c2c-4e61-87e8-6b3ed3fc8e4b · outbound

This paper cites Fedkim: Adaptive federated knowledge injection into medical foundation models.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Fedkim: Adaptive federated knowledge injection into medical foundation models

Reference 21

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Observation b4381746-9ac8-42b0-8ad7-0708b605f9df · outbound

This paper cites Snomed-ct: The advanced terminology and coding system for ehealth.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Snomed-ct: The advanced terminology and coding system for ehealth

Reference 22

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Observation 92ee00c9-f1e8-4abf-8b3c-4180ffc8e8c8 · outbound

This paper cites Medical subject headings (mesh).

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Medical subject headings (mesh)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:12.446087Z

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Observation e456f763-9734-4fe5-99df-0588c7859c5a · outbound

This paper cites Drugbank: a comprehensive resource for in silico drug discovery and exploration.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Drugbank: a comprehensive resource for in silico drug discovery and exploration

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:12.226885Z

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Observation 79664723-9a5d-4331-9ac7-c58416a20fb0 · outbound

This paper cites The human disease network.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph The human disease network

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:12.067782Z

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Observation 5257bd04-6c0b-4e59-bedb-81e2b5897eb5 · outbound

This paper cites Learning entity and relation embeddings for knowledge graph completion.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Learning entity and relation embeddings for knowledge graph completion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:54.304467Z

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Observation 09ff41e2-2767-4fae-8215-9e5decd535ee · outbound

This paper cites Building a knowledge graph to enable precision medicine.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Building a knowledge graph to enable precision medicine

Reference 27

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Observation 537791d7-7076-454d-ad5c-8f41f1f85670 · outbound

This paper cites Automated extraction of potential migraine biomarkers using a semantic graph.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Automated extraction of potential migraine biomarkers using a semantic graph

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:11.868759Z

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Observation 1620580c-435d-488a-a9e6-5aa39f060bca · outbound

This paper cites Enriching contextualized language model from knowledge graph for biomedical information extraction.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Enriching contextualized language model from knowledge graph for biomedical information extraction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:11.699569Z

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Observation 39c597a3-52b8-422f-b9bc-f6f1924efdc8 · outbound

This paper cites Constructing biomedical domain-specific knowledge graph with minimum supervision.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Constructing biomedical domain-specific knowledge graph with minimum supervision

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:11.558315Z

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Observation 3de9cec0-b595-459a-9bda-b121f6940e81 · outbound

This paper cites Covid-on-the-web: Knowledge graph and services to advance covid-19 research.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Covid-on-the-web: Knowledge graph and services to advance covid-19 research

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:11.382301Z

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

Observation f3782f82-baf7-4e98-8e08-bb6053540bd9 · outbound

This paper cites Richpedia: a large-scale, compre- hensive multi-modal knowledge graph.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Richpedia: a large-scale, compre- hensive multi-modal knowledge graph

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:11.128288Z

Source-reported events for the cited work

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Observation 7a56c7cd-2da1-44ea-8ac8-4fbbf4d54332 · outbound

This paper cites Multi- modal analogical reasoning over knowledge graphs.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Multi- modal analogical reasoning over knowledge graphs

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.958942Z

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.

Observation 24e7097c-fead-4999-9c91-3cce6a43e897 · outbound

This paper cites Mmkg: multi-modal knowledge graphs.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Mmkg: multi-modal knowledge graphs

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.809574Z

Source-reported events for the cited work

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Observation 7d34b032-5778-4fb8-9e33-aee66b084c61 · outbound

This paper cites Tiva-kg: A multimodal knowledge graph with text, image, video and audio.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Tiva-kg: A multimodal knowledge graph with text, image, video and audio

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.660612Z

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.

Observation f64ab290-f8e4-4210-b471-0d73c554f685 · outbound

This paper cites Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:54:01.083616Z

Source-reported events for the cited work

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Observation a3f1fa7a-20cd-46af-952b-dcf8f53cf3da · outbound

This paper cites An overview of metamap: historical perspective and recent advances.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph An overview of metamap: historical perspective and recent advances

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.503071Z

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Observation b2e022c8-6a28-484a-9534-5a86f5dbb135 · outbound

This paper cites GPT-4 Technical Report.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph GPT-4 Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.146775Z

Source-reported events for the cited work

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Observation ff6c77b2-8106-4acc-8274-590d0aa8a928 · outbound

This paper cites Redundancy, redundancy, re- dundancy: the three keys to highly robust anatomical parsing in medical images.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Redundancy, redundancy, re- dundancy: the three keys to highly robust anatomical parsing in medical images

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.339004Z

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.

Observation 1d08b8c2-b52f-44df-9e9a-a26e9941d474 · outbound

This paper cites Translating embeddings for modeling multi-relational data.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Translating embeddings for modeling multi-relational data

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.276885Z

Source-reported events for the cited work

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Observation e9e29954-3fe6-4475-ab33-b898b6caabea · outbound

This paper cites Knowledge graph embedding by translating on hyperplanes.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Knowledge graph embedding by translating on hyperplanes

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.342930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425bff2b-f1b3-4544-8b46-bf3802436b2d · outbound

This paper cites Knowledge graph embedding via dynamic mapping matrix.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Knowledge graph embedding via dynamic mapping matrix

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.154076Z

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.

Observation 750acbf3-f339-455a-858c-669fe9597878 · outbound

This paper cites RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.461191Z

Source-reported events for the cited work

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Observation 274c4b86-0be7-4fe2-b24c-35956be002f8 · outbound

This paper cites A three-way model for collective learning on multi-relational data.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph A three-way model for collective learning on multi-relational data

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:10.028546Z

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.

Observation 89cf7572-79b5-4058-9df9-d661d7d28dc7 · outbound

This paper cites Embedding Entities and Relations for Learning and Inference in Knowledge Bases.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.573735Z

Source-reported events for the cited work

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Observation 74b1f7fc-46a7-4f4c-a549-eead1e787df4 · outbound

This paper cites Complex embeddings for simple link prediction.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Complex embeddings for simple link prediction

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:09.842991Z

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.

Observation e347780e-c03b-44da-98cf-486d3a441359 · outbound

This paper cites Simple embedding for link prediction in knowledge graphs.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Simple embedding for link prediction in knowledge graphs

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:08.709650Z

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.

Observation 8abd7008-40c4-47a2-a7e4-d1e7ffb5f9fd · outbound

This paper cites TuckER: Tensor Factorization for Knowledge Graph Completion.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph TuckER: Tensor Factorization for Knowledge Graph Completion

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:55.783313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7971ee6c-970b-4191-97c9-9c28363ae096 · outbound

This paper cites Hypernetwork knowledge graph embeddings.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Hypernetwork knowledge graph embeddings

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:08.489932Z

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.

Observation 3db895a5-328a-464d-85e0-e03d6a1986df · outbound

This paper cites Convolutional 2d knowledge graph embeddings.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Convolutional 2d knowledge graph embeddings

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:08.330051Z

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.

Observation b412c635-fc98-4aad-9591-28e5c31b24d9 · outbound

This paper cites Adaptive convolution for multi-relational learning.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Adaptive convolution for multi-relational learning

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:08.186320Z

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.

Observation 0f82a490-b539-4d77-80b7-5d00ac766c1b · outbound

This paper cites Low-Dimensional Hyperbolic Knowledge Graph Embeddings.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Low-Dimensional Hyperbolic Knowledge Graph Embeddings

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:56.137358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4861b1a-b85b-48f0-ac21-c158622fb149 · outbound

This paper cites Multi-relational poincaré graph embed- dings.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Multi-relational poincaré graph embed- dings

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:08.029347Z

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.

Observation 181ba96a-f282-42ce-88e2-8c30f4574d32 · outbound

This paper cites Reasoning with neural tensor networks for knowledge base completion.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Reasoning with neural tensor networks for knowledge base completion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:07.856615Z

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.

Observation 3bcecd78-c346-4782-9e5b-3c0a73695440 · outbound

This paper cites Design and development of a multimodal biomedical information retrieval system.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Design and development of a multimodal biomedical information retrieval system

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:07.710383Z

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.

Observation 0970bd88-5b71-463a-8a86-5c266d87cfc8 · outbound

This paper cites Preparing a collection of radiology examinations for distribution and retrieval.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Preparing a collection of radiology examinations for distribution and retrieval

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:07.539990Z

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.

Observation 4e734cbf-4403-4e54-8244-89f2ffb78af3 · outbound

This paper cites Learning transferable visual models from natural language supervision.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Learning transferable visual models from natural language supervision

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:56.767902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edcfcb89-ed11-44e8-b4b6-ddfaf58e2f3d · outbound

This paper cites an unresolved cited work.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Unresolved cited work

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:56.940189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41a03ba-de3f-4509-8e75-56e848f7aa4d · outbound

This paper cites BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:57.075712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6371645-80b4-4187-b8f2-6b9c1c7e65eb · outbound

This paper cites Contrastive language- image pre-training with knowledge graphs.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Contrastive language- image pre-training with knowledge graphs

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:07.338653Z

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.

Observation ec94cf03-34de-4497-9283-0c1175acbc13 · outbound

This paper cites FashionKLIP: Enhancing E-commerce image-text retrieval with fashion multi-modal conceptual knowledge graph.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph FashionKLIP: Enhancing E-commerce image-text retrieval with fashion multi-modal conceptual knowledge graph

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:07.186644Z

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.

Observation 1a02da19-12e5-4d43-a6a2-3f865cf90fc4 · outbound

This paper cites Decoupled Weight Decay Regularization.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Decoupled Weight Decay Regularization

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:57.372720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52759248-90dc-43a0-9020-7678327ed519 · outbound

This paper cites Overview of imageclef 2018 medical domain visual question answering task.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Overview of imageclef 2018 medical domain visual question answering task

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:07.007395Z

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.

Observation a3e52de9-80cf-44c4-8e97-d31836d0d65f · outbound

This paper cites A dataset of clinically generated visual questions and answers about radiology images.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph A dataset of clinically generated visual questions and answers about radiology images

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:57.537099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d906b52-16db-461b-bbe4-9d060a95ba59 · outbound

This paper cites Slake: A semantically- labeled knowledge-enhanced dataset for medical visual question answering.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Slake: A semantically- labeled knowledge-enhanced dataset for medical visual question answering

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:06.848292Z

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.

Observation eaa0c3a2-a5db-4701-905c-e4ac8b9e83dd · outbound

This paper cites PathVQA: 30000+ Questions for Medical Visual Question Answering.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph PathVQA: 30000+ Questions for Medical Visual Question Answering

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:57.859797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a38188a-87fa-46ac-b618-4a4c459859f3 · outbound

This paper cites Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge-based vqa.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge-based vqa

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:06.671880Z

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.

Observation 17d9e639-c386-4083-9d14-d12c309ec8aa · outbound

This paper cites Medical knowledge-based network for patient-oriented visual question answering.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Medical knowledge-based network for patient-oriented visual question answering

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:06.514350Z

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.

Observation a4cf4a4d-2938-4f43-b160-414a3d330cbd · outbound

This paper cites K-pathvqa: Knowledge- aware multimodal representation for pathology visual question answering.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph K-pathvqa: Knowledge- aware multimodal representation for pathology visual question answering

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:06.390787Z

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.

Observation 5fd3b692-9831-4182-8731-10e377bed04e · outbound

This paper cites Ekgrl: Entity-based knowledge graph representation learning for fact-based visual question answering.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Ekgrl: Entity-based knowledge graph representation learning for fact-based visual question answering

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:06.223718Z

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.

Observation e4825856-83bf-4d46-8a3e-3fd9a71186b2 · outbound

This paper cites Multimodal Reasoning with Multimodal Knowledge Graph.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Multimodal Reasoning with Multimodal Knowledge Graph

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:58.465143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5586e023-e4a6-414a-911d-8ea0c4b009ec · outbound

This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:06.064466Z

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.

Observation f54b2292-5659-47db-8b69-9005e008192d · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:05.882239Z

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.

Observation 31cab20f-4b7a-4d3e-a0d3-5a0a749d1ad6 · outbound

This paper cites Limitations.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Limitations

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:05.615050Z

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.

Observation 2578f3e2-8aed-4578-9256-249f4ee76aaf · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:05.311458Z

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.

Observation c8a89115-12de-4d6b-ba75-62b6b69dec5f · outbound

This paper cites Addi- tionally, we set the uniform seed (42) for all experiments to ensure reproducibility.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Addi- tionally, we set the uniform seed (42) for all experiments to ensure reproducibility

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:05.134510Z

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.

Observation 53171322-1f09-46f9-94b7-194a6bb7cc12 · outbound

This paper cites Guidelines: • The answer NA means that paper does not include experiments requiring code.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that paper does not include experiments requiring code

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:04.822623Z

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.

Observation 991ae1c5-7512-47cc-b6de-f78fafdc7956 · outbound

This paper cites • The experimental setting should be presented in the core of the paper to a level of detail that is necessary to appreciate the results and make sense of them.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph • The experimental setting should be presented in the core of the paper to a level of detail that is necessary to appreciate the results and make sense of them

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:04.537229Z

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.

Observation 9e838f3a-4f52-45f7-90af-d1666fde79da · outbound

This paper cites Instead, we set fixed random seed and provide reproduciable source codes to ensure the fair comparison.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Instead, we set fixed random seed and provide reproduciable source codes to ensure the fair comparison

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:04.233264Z

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.

Observation a4c0d95b-1698-4b06-bb5f-1981c091b16c · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper does not include experiments

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:03.854388Z

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.

Observation d5222a12-016d-43ab-bce9-4ebc74e62896 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:03.549495Z

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.

Observation 48eaa301-34b9-4139-9d6a-68dbf1728f1e · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:03.300953Z

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.

Observation d109dc59-9edf-4ca7-9016-ba81978e32f6 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper poses no such risks

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:03.064660Z

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.

Observation 86f385c8-aa87-4c22-a4c4-4620d3536dc4 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper does not use existing assets

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:02.895426Z

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.

Observation e72095fd-45c2-4db2-8783-1982d3ab5eee · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper does not release new assets

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:02.708431Z

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.

Observation b16bf29a-1c4c-4560-8ffd-836112094d47 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:02.469681Z

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.

Observation da865e92-f1f9-4b15-b402-3c4d523c78a9 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:02.114222Z

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.

Observation 2a016cf1-037b-4a45-8392-8951718b7d8f · outbound

This paper cites findings.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph findings

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:54:01.726251Z

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.

Observation 0d0de935-e377-4a5c-8760-297b4460f86b · outbound

This paper cites an unresolved cited work.

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph Unresolved cited work

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:57.279657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers