MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction | Paper Citation Record

Observation f8eca90f-fac8-417f-9da0-06d87b8c4fad · outbound

This paper cites Learning spatial structures of proteins improves protein–protein interaction prediction.Briefings in Bioinformatics, 23(2):bbab558, 2022.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Learning spatial structures of proteins improves protein–protein interaction prediction.Briefings in Bioinformatics, 23(2):bbab558, 2022

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.969077Z

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Observation f0c03f0c-015e-4078-8400-148a37694a19 · outbound

This paper cites Hnsppi: a hybrid computational model combing network and sequence information for predicting protein–protein interaction.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Hnsppi: a hybrid computational model combing network and sequence information for predicting protein–protein interaction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.935582Z

Source-reported events for the cited work

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Observation 48a06fd0-1e57-443e-bb0f-9c8e519538b7 · outbound

This paper cites Prediction of protein-protein interactions based on ensemble residual convolutional neural network.Computers in Biology and Medicine, 152:106471, 2023.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Prediction of protein-protein interactions based on ensemble residual convolutional neural network.Computers in Biology and Medicine, 152:106471, 2023

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.021730Z

Source-reported events for the cited work

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Observation 0a76c947-4676-4658-b0aa-c2a99cba62c8 · outbound

This paper cites Anti-symmetric framework for balanced learning of protein–protein interactions.Bioinformatics, 40(10):btae603, 2024.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Anti-symmetric framework for balanced learning of protein–protein interactions.Bioinformatics, 40(10):btae603, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.958323Z

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Observation 3f704ed5-4b5e-486a-b1be-aa89a04f7355 · outbound

This paper cites Ju, Guangyu Zhou, Xiangnan Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, and Wei Wang.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Ju, Guangyu Zhou, Xiangnan Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, and Wei Wang

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.090156Z

Source-reported events for the cited work

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Observation 39e2a83a-f07d-42b9-8ab2-7cad444d6a51 · outbound

This paper cites D-script translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions.Cell Systems, 12(10):969–982.e6, 2021.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction D-script translates genome to phenome with sequence-based, structure-aware, genome-scale predictions of protein-protein interactions.Cell Systems, 12(10):969–982.e6, 2021

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.957553Z

Source-reported events for the cited work

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Observation 27ca89a8-7cab-4ef9-9d23-2f4df33b9297 · outbound

This paper cites Uniprot: the universal protein knowledgebase in 2021.Nucleic Acids Research, 49(D1):D480–D489, 2021.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Uniprot: the universal protein knowledgebase in 2021.Nucleic Acids Research, 49(D1):D480–D489, 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.076030Z

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Observation 28e47384-36ac-4b69-8ddf-ef0bfedcf219 · outbound

This paper cites Lawrence Zitnick, Jerry Ma, and Rob Fergus.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Lawrence Zitnick, Jerry Ma, and Rob Fergus

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.050446Z

Source-reported events for the cited work

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Observation bc472c7f-a357-479d-b8e2-7714668d1812 · outbound

This paper cites Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Evolutionary-scale prediction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.964936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c347551-56bc-4c51-a286-d1a1aab4724f · outbound

This paper cites Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Highly accurate protein structure prediction with alphafold.Nature, 596(7873):583–589, 2021

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.962662Z

Source-reported events for the cited work

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Observation 83422efb-633f-4052-aa7a-05f2001bbccb · outbound

This paper cites Kipf and Max Welling.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Kipf and Max Welling

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.090907Z

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Observation 25f993a7-e055-49dd-ae65-e7abee7db9d7 · outbound

This paper cites Hamilton, Rex Ying, and Jure Leskovec.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Hamilton, Rex Ying, and Jure Leskovec

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.031437Z

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Observation b6131ca6-6b19-4a01-88d7-66a1a2e8418a · outbound

This paper cites Graph attention networks.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Graph attention networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.058702Z

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Observation 4984a2d5-800b-49a6-a9b5-a93fd2061b9c · outbound

This paper cites How powerful are graph neural networks? In International Conference on Learning Representations.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction How powerful are graph neural networks? In International Conference on Learning Representations

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.924339Z

Source-reported events for the cited work

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Observation 6d361d87-b27c-4d9e-ac3a-9d65cd7491fa · outbound

This paper cites Open graph benchmark: Datasets for machine learning on graphs.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Open graph benchmark: Datasets for machine learning on graphs

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.083969Z

Source-reported events for the cited work

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Observation f8d6da06-f2cd-477d-a124-3ad1a8660ba7 · outbound

This paper cites Gable, David Lyon, Alexander Junge, Stefan Wyder, Jaime Huerta-Cepas, Milan Simonovic, Nadezhda T.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Gable, David Lyon, Alexander Junge, Stefan Wyder, Jaime Huerta-Cepas, Milan Simonovic, Nadezhda T

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.097345Z

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Observation 4865b1c7-feef-4f74-ab0c-461312adc3fd · outbound

This paper cites Wishart, Yannick D.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Wishart, Yannick D

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.937512Z

Source-reported events for the cited work

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Observation 04e3684a-31f9-420e-b7f2-1c00c4a043f0 · outbound

This paper cites Wiegers, Robin J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Wiegers, Robin J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.990470Z

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Observation 8949ddab-97c5-43b5-a7c6-e14680a42be4 · outbound

This paper cites mirtarbase 2020: updates to the experimentally validated microrna- target interaction database.Nucleic Acids Research, 48(D1):D148–D154, 2020.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction mirtarbase 2020: updates to the experimentally validated microrna- target interaction database.Nucleic Acids Research, 48(D1):D148–D154, 2020

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.084952Z

Source-reported events for the cited work

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Observation 83040fea-6cd3-4ba4-924c-b1b05921f364 · outbound

This paper cites Lnctard: a manually-curated database of experimentally-supported functional lncrna-target regulations in human diseases.Nucleic Acids Research, 48(D1):D118–D126, 2020.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Lnctard: a manually-curated database of experimentally-supported functional lncrna-target regulations in human diseases.Nucleic Acids Research, 48(D1):D118–D126, 2020

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.069209Z

Source-reported events for the cited work

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Observation a482a608-f737-4bb3-8dc4-1ece931c5bdc · outbound

This paper cites Campbell, Gayatri Chavali, Carol Chen, Noemi del Toro, et al.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Campbell, Gayatri Chavali, Carol Chen, Noemi del Toro, et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.063053Z

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Observation 651da7b5-e0cc-4a41-afc9-27c689e661a9 · outbound

This paper cites The gene ontology resource: enriching a gold mine.Nucleic Acids Research, 49(D1):D325–D334, 2021.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction The gene ontology resource: enriching a gold mine.Nucleic Acids Research, 49(D1):D325–D334, 2021

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.071144Z

Source-reported events for the cited work

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Observation 105fb367-2808-4f67-a32b-b1e00113e596 · outbound

This paper cites Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, and Sergio E.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Chen, Dexter Hadley, Ari Green, Pouya Khankhanian, and Sergio E

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.060659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e03b6f2-57f0-4416-a27a-281d9e50c80b · outbound

This paper cites A knowledge graph to interpret clinical proteomics data.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A knowledge graph to interpret clinical proteomics data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.065268Z

Source-reported events for the cited work

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Observation d8dd0037-675a-4b9b-ad28-2b006a240efa · outbound

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

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Translating embeddings for modeling multi-relational data

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.028332Z

Source-reported events for the cited work

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Observation 94a4e17f-ed94-4429-acf7-b2bcb3db84de · outbound

This paper cites Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.065051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 675967ab-ced0-4557-ab2b-1314473b2600 · outbound

This paper cites Modeling polypharmacy side effects with graph convolu- tional networks.Bioinformatics, 34(13):i457–i466, 2018.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Modeling polypharmacy side effects with graph convolu- tional networks.Bioinformatics, 34(13):i457–i466, 2018

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.095048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99db5365-6acb-41fd-8a35-a2edd22a91ae · outbound

This paper cites an unresolved cited work.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-07-05T04:50:42.057076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1dd4e53a-0595-4a7f-976f-aa612166329c · outbound

This paper cites an unresolved cited work.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-07-05T04:50:42.035957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 646b628a-6905-43f4-851c-bb3cf9fa2cfc · outbound

This paper cites Mkg-fenn: A multimodal knowledge graph fused end-to-end neural network for accurate drug-drug interaction prediction.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Mkg-fenn: A multimodal knowledge graph fused end-to-end neural network for accurate drug-drug interaction prediction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.940644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9109e9b7-2e84-4d00-a88e-9f59c61877e3 · outbound

This paper cites Federated latent factor learning for privacy-preserving spatio-temporal signal recovery.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Federated latent factor learning for privacy-preserving spatio-temporal signal recovery

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.043000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9278b2fe-5d74-4957-98fc-e025e9cfe06c · outbound

This paper cites A data-characteristic-aware latent factor model for web service qos prediction.IEEE Transactions on Knowledge and Data Engineering, 34(6):2525–2538, 2022.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A data-characteristic-aware latent factor model for web service qos prediction.IEEE Transactions on Knowledge and Data Engineering, 34(6):2525–2538, 2022

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.026366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7d7c7f41-1ffa-489f-9fdd-14a03b187831 · outbound

This paper cites A differential evolution-enhanced position-transitional approach to latent factor analysis.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A differential evolution-enhanced position-transitional approach to latent factor analysis.IEEE Trans

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.038280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 472e003c-98aa-42cf-bac3-eb25ec436ee6 · outbound

This paper cites Recursion-and-fuzziness reinforced online sparse streaming feature selection.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Recursion-and-fuzziness reinforced online sparse streaming feature selection

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.067177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 368eaa65-80bf-4605-ae0b-a9e5cf0d1b22 · outbound

This paper cites Mma: Multi-metric-autoencoder for analyzing high-dimensional and incomplete data.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Mma: Multi-metric-autoencoder for analyzing high-dimensional and incomplete data

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.047689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 636fbc36-5904-491e-a3aa-5cb121b7335a · outbound

This paper cites A highly-accurate three-way decision-incorporated online sparse streaming features selection model.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A highly-accurate three-way decision-incorporated online sparse streaming features selection model.IEEE Trans

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.085940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fa06912e-c640-4018-9ea7-7771ca520b89 · outbound

This paper cites Adaptive regularization-incorporated latent factor analysis.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Adaptive regularization-incorporated latent factor analysis

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.087832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 901e9c7f-be9a-4062-8c61-db5c0417c190 · outbound

This paper cites Algorithms of unconstrained non-negative latent factor analysis for recommender systems.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Algorithms of unconstrained non-negative latent factor analysis for recommender systems.IEEE Trans

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.977149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 54bfa3f3-660c-44ef-85be-1ff42fa4b06d · outbound

This paper cites A generalized and fast-converging non-negative latent factor model for predicting user preferences in recommender systems.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A generalized and fast-converging non-negative latent factor model for predicting user preferences in recommender systems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.017277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ea9f20f6-346f-4ab7-9dde-75cecba970c5 · outbound

This paper cites Neural nonnegative latent factorization of tensors model with acceleration and unconstraint.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Neural nonnegative latent factorization of tensors model with acceleration and unconstraint.IEEE Trans

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.952444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 83d796ea-65d7-4020-8467-92311435893c · outbound

This paper cites A sampling-neighborhood-regularized latent factorization of tensor for dynamic qos estimation.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A sampling-neighborhood-regularized latent factorization of tensor for dynamic qos estimation.IEEE Trans

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.988421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1d3b78a6-2f91-47e7-9695-258b4d6eb0ff · outbound

This paper cites Online sparse streaming feature selection via decision risk.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Online sparse streaming feature selection via decision risk

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.088971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9310a3aa-c994-4961-aaed-ba800fab1b92 · outbound

This paper cites an unresolved cited work.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-07-05T04:50:42.074459Z

Source-reported events for the cited work

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Observation 16932015-1b97-462f-b115-563b9258c04f · outbound

This paper cites An error correction mid-term electricity load forecasting model based on seasonal decomposition.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction An error correction mid-term electricity load forecasting model based on seasonal decomposition

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.002581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3322b206-d3f7-4065-a436-f066312fda23 · outbound

This paper cites A double-space and double-norm ensembled latent factor model for highly accurate web service qos prediction.IEEE Transactions on Services Computing, 16(2):802–814, 2023.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A double-space and double-norm ensembled latent factor model for highly accurate web service qos prediction.IEEE Transactions on Services Computing, 16(2):802–814, 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.054763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c40a9832-6701-4264-9585-c74d6fe28276 · outbound

This paper cites Adaptive tucker decomposition-based progressive model compression for convolutional neural networks.Expert Syst.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Adaptive tucker decomposition-based progressive model compression for convolutional neural networks.Expert Syst

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.063476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d499ad6-0b76-4363-bca8-91339e896e6a · outbound

This paper cites Tensor low-rank orthogonal compression for convolutional neural networks.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Tensor low-rank orthogonal compression for convolutional neural networks.IEEE CAA J

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.988172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7fd96307-80a9-4db0-af39-a948cf5a3319 · outbound

This paper cites Neural tucker factorization.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Neural tucker factorization.IEEE CAA J

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.078355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd383130-c8f2-4ede-a72f-4b6a1575e10f · outbound

This paper cites Multi-aspect self-attending neural tucker factorization for spatiotemporal representation learning.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Multi-aspect self-attending neural tucker factorization for spatiotemporal representation learning.IEEE CAA J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.990642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3f527e1-99bd-49e1-ab98-66947ec3fe10 · outbound

This paper cites Mpsant: A novel multi-projection self-attending neural tucker factorization model for high-dimensional and incomplete data representation learning.Inf.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Mpsant: A novel multi-projection self-attending neural tucker factorization model for high-dimensional and incomplete data representation learning.Inf

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.948079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ab692819-5673-4641-bd65-55832121b34a · outbound

This paper cites Dual channel graph convolutional networks via personalized pagerank.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Dual channel graph convolutional networks via personalized pagerank.IEEE CAA J

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.944070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 73757575-2d8e-4306-8ff8-2bce06b10b3d · outbound

This paper cites Modularized graph convolutional network.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Modularized graph convolutional network.IEEE CAA J

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.919331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8cb6588-df6e-4182-83ba-fcec9e59d9f3 · outbound

This paper cites Advanced high-order graph convolutional networks with assorted time- frequency transforms.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Advanced high-order graph convolutional networks with assorted time- frequency transforms.IEEE CAA J

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.008647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7205fa0f-26f7-4114-ac08-6dfdd6c8d80e · outbound

This paper cites A graph-incorporated latent factor analysis model for high-dimensional and sparse data.IEEE Transactions on Emerging Topics in Computing, 11(4):907–917, 2023.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A graph-incorporated latent factor analysis model for high-dimensional and sparse data.IEEE Transactions on Emerging Topics in Computing, 11(4):907–917, 2023

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.040802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 85e65508-06e6-4388-a35b-577c8c051a0d · outbound

This paper cites Graph tensor convolutional network.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Graph tensor convolutional network.IEEE Trans

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.092904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 09630ab8-72b2-494e-8d43-747501609cb3 · outbound

This paper cites Mmlf: multi-metric latent feature analysis for high-dimensional and incomplete data.IEEE Transactions on Services Computing, 17(2):575–588, 2024.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Mmlf: multi-metric latent feature analysis for high-dimensional and incomplete data.IEEE Transactions on Services Computing, 17(2):575–588, 2024

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.004909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e5c9f7d9-2c16-4cb9-98d1-d5f374f8a08b · outbound

This paper cites A survey of latent factorization of tensor-based model compression: Algorithms, toolboxes and future directions.Neurocomputing, 682:133455, 2026.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A survey of latent factorization of tensor-based model compression: Algorithms, toolboxes and future directions.Neurocomputing, 682:133455, 2026

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.966044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a86a904-e020-48f4-91c1-5da6e435f3e4 · outbound

This paper cites A novel tensor causal convolution network model for highly-accurate representa- tion to spatio-temporal data.IEEE Trans Autom.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A novel tensor causal convolution network model for highly-accurate representa- tion to spatio-temporal data.IEEE Trans Autom

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.070829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5aa044f6-e4e9-47a6-a421-dc65d50cee89 · outbound

This paper cites Latent-factorization-of-tensors-incorporated battery cycle life prediction.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Latent-factorization-of-tensors-incorporated battery cycle life prediction.IEEE CAA J

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.080327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a62fdd14-d661-4fa2-8daa-e68c8a7b43d5 · outbound

This paper cites Cm-cgns: Cross-modal clustering-guided negative sampling for self-supervised joint learning from medical images and reports.Expert Syst.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Cm-cgns: Cross-modal clustering-guided negative sampling for self-supervised joint learning from medical images and reports.Expert Syst

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.968471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3b97326-bc6b-4047-ba1d-7bc167cbdd32 · outbound

This paper cites Layer-wise correlation and attention discrepancy distillation for semantic segmentation.Pattern Recognit., 172:112438, 2026.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Layer-wise correlation and attention discrepancy distillation for semantic segmentation.Pattern Recognit., 172:112438, 2026

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.000249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4855cbf0-1d33-4b20-ae1b-5a2cdff740f2 · outbound

This paper cites A scalable multichannel sentiment analysis model with enhanced semantic understanding and redundancy reduction.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A scalable multichannel sentiment analysis model with enhanced semantic understanding and redundancy reduction.IEEE Trans

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.073600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3fa3249f-9913-4161-ab6c-861171025bb9 · outbound

This paper cites Fuzzy mixture-of-experts aggregation for organoid identification with multiscale state space features.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Fuzzy mixture-of-experts aggregation for organoid identification with multiscale state space features.IEEE Trans

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.007335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 35f475e0-9a42-496a-b91d-a3328ceb3ac6 · outbound

This paper cites Ncsac: Effective neural community search via attribute-augmented conductance.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Ncsac: Effective neural community search via attribute-augmented conductance.IEEE Trans

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.015088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ba0da41-321b-466b-8d0d-4b7a75eb3075 · outbound

This paper cites An intelligent optimization-based residual negative magnitude shaping scheme for vibration control.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction An intelligent optimization-based residual negative magnitude shaping scheme for vibration control.IEEE Trans

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.033674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 37d138df-605d-47ad-9324-84b057028308 · outbound

This paper cites A robust approach to electricity theft detection via tensor representation- driven contrastive distillation.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A robust approach to electricity theft detection via tensor representation- driven contrastive distillation.IEEE Trans

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.033925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71424d99-a37f-4cd7-b399-7f497119dab0 · outbound

This paper cites Knowledge-driven multiple instance learning with hierarchi- cal cluster-incorporated aware filtering for larynx pathological grading.IEEE J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Knowledge-driven multiple instance learning with hierarchi- cal cluster-incorporated aware filtering for larynx pathological grading.IEEE J

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.026120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 58dd833f-8a75-4e07-9eb8-29f8ee9f0aa9 · outbound

This paper cites Dynamic stochastic reorientation particle swarm optimization for adaptive latent factor analysis in high-dimensional sparse matrices.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Dynamic stochastic reorientation particle swarm optimization for adaptive latent factor analysis in high-dimensional sparse matrices.IEEE Trans

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.076219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 317aaa74-bd31-47eb-a957-0bbe20157e9f · outbound

This paper cites Genetic algorithm-based two-step optimization for precise latent factor analysis.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Genetic algorithm-based two-step optimization for precise latent factor analysis.IEEE Trans

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.078517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fb33918f-79ff-47fe-8828-7c35234b74e4 · outbound

This paper cites Multi-scale collaborative distillation graph neural networks for session-based recommendation.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Multi-scale collaborative distillation graph neural networks for session-based recommendation.IEEE Trans

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.006671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e810b855-12b7-48a6-8c62-b30097328b02 · outbound

This paper cites Tracehg: An unsupervised dual-view framework for microservice anomaly detection.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Tracehg: An unsupervised dual-view framework for microservice anomaly detection.IEEE Trans

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.059247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c1a8712c-ff0a-4bcc-b589-6f9608dd156e · outbound

This paper cites Clorg: A contrastive learning-based framework for morphological representation and classification of organoids.Array, 27:100446, 2025.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Clorg: A contrastive learning-based framework for morphological representation and classification of organoids.Array, 27:100446, 2025

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.000734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f8873af5-0268-4cc9-9907-5f14670b14f5 · outbound

This paper cites an unresolved cited work.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-07-05T04:50:41.959442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b2656f6-d8e7-4397-bd55-fbd911adb5eb · outbound

This paper cites Local search-based anytime algorithms for continuous distributed constraint optimization problems.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Local search-based anytime algorithms for continuous distributed constraint optimization problems.IEEE CAA J

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.975667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f34a3c07-029a-4e76-987e-4938cef558d8 · outbound

This paper cites Analysis of students’ positive emotion and smile intensity using sequence-relative key-frame labeling and deep-asymmetric convolutional neural network.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Analysis of students’ positive emotion and smile intensity using sequence-relative key-frame labeling and deep-asymmetric convolutional neural network

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.086989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c19d206-7408-46b2-8fa0-9974015e7d93 · outbound

This paper cites A proportional integral controller-enhanced non-negative latent factor analysis model.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A proportional integral controller-enhanced non-negative latent factor analysis model.IEEE CAA J

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.082858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3210273d-52a6-4238-9058-7e89028beddf · outbound

This paper cites Data-driven calibration of industrial robots: A comprehensive survey.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Data-driven calibration of industrial robots: A comprehensive survey.IEEE CAA J

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.038474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3e922383-180f-48c2-908d-0334f39556fe · outbound

This paper cites A 3d convolution-incorporated dimension preserved decomposition model for traffic data prediction.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A 3d convolution-incorporated dimension preserved decomposition model for traffic data prediction.IEEE Trans

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.052605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1656f7e9-1ffb-4ab7-8ee6-cc83ae817708 · outbound

This paper cites Latent factor analysis model with temporal regularized constraint for road traffic data imputation.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Latent factor analysis model with temporal regularized constraint for road traffic data imputation.IEEE Trans

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.018034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3c463ad6-5eac-49c1-a7eb-8db5cb938a30 · outbound

This paper cites Regulation-aware graph learning for drug repositioning over heterogeneous biological network.Inf.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Regulation-aware graph learning for drug repositioning over heterogeneous biological network.Inf

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.953959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 571ffdc4-3a17-4f2b-9e5b-a104d465c2a2 · outbound

This paper cites Fdts: A feature disentangled transformer for interpretable squamous cell carcinoma grading.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Fdts: A feature disentangled transformer for interpretable squamous cell carcinoma grading.IEEE CAA J

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.961619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bcb5d8f6-8846-43d0-ba07-45e6be56c887 · outbound

This paper cites Advancing healthcare with large language models: Techniques and application.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Advancing healthcare with large language models: Techniques and application.IEEE CAA J

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:41.954966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d90d8445-9e64-4d0a-bf14-49bd17f61227 · outbound

This paper cites A comprehensive review of parallel optimization algorithms for high- dimensional and incomplete matrix factorization.IEEE CAA J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A comprehensive review of parallel optimization algorithms for high- dimensional and incomplete matrix factorization.IEEE CAA J

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.020081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 375b5912-5f8c-42d1-8ad5-1068b326d65d · outbound

This paper cites A deep latent factor model for high-dimensional and sparse matrices in recommender systems.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(7):4285–4296, 2021.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A deep latent factor model for high-dimensional and sparse matrices in recommender systems.IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(7):4285–4296, 2021

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.043243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 08e36787-5da6-4362-8363-a07f66037a32 · outbound

This paper cites Enhancing graph convolutional networks with an efficient k-hop neighborhood approach.Inf.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Enhancing graph convolutional networks with an efficient k-hop neighborhood approach.Inf

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.019341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 155ed2ea-66bd-4b74-b6ef-299d6f10aae1 · outbound

This paper cites Searching for an accurate robot calibration via improved levenberg-marquardt and radial basis function system.J.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Searching for an accurate robot calibration via improved levenberg-marquardt and radial basis function system.J

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.082308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae584064-0ea3-4556-89ac-81d66eca4647 · outbound

This paper cites A posterior-neighborhood-regularized latent factor model for highly accurate web service qos prediction.IEEE Transactions on Services Computing, 15(2):793–805, 2022.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction A posterior-neighborhood-regularized latent factor model for highly accurate web service qos prediction.IEEE Transactions on Services Computing, 15(2):793–805, 2022

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.021909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3d0a843e-5f94-45ac-acfd-82fd9e4d5714 · outbound

This paper cites Learning error refinement in stochastic gradient descent-based latent factor analysis via diversified pid controllers.IEEE Trans.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Learning error refinement in stochastic gradient descent-based latent factor analysis via diversified pid controllers.IEEE Trans

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.069040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f07bc748-b132-4007-adce-37e99567161a · outbound

This paper cites an unresolved cited work.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-07-05T04:50:42.066822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ebd869da-834f-4ba9-bcfd-ecfebffb4ecd · outbound

This paper cites Esm2_amp: an interpretable framework for protein–protein interactions prediction and biological mechanism discovery.Briefings in Bioinformatics, 26(4):bbaf434, 2025.

MKGR: Multimodal Knowledge-Graph Representation Learning for Cold-Start Protein-Protein Interaction Prediction Esm2_amp: an interpretable framework for protein–protein interactions prediction and biological mechanism discovery.Briefings in Bioinformatics, 26(4):bbaf434, 2025

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T04:50:42.072726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers