Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T19:05:16.139750Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 0 inbound Pith citation observations for arXiv:2607.09666.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T19:05:16.139750Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 300 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8dc30918-22a0-4e80-bfdd-095ad8a20b3c · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge graphs: Opportunities and challenges.Artificial Intelligence Review, 56(11):13071–13102, 2023
Reference 1
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Observation 54bc704a-e7cb-44c0-9def-1ad6d2559039 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Bolt defect classification algorithm based on knowledge graph and feature fusion.Energy Reports, 8:856–863, 2022
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Observation abca509a-be82-4729-b151-88c323d9bf99 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey of techniques for constructing chinese knowledge graphs and their applications
Reference 3
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Observation db334864-e528-455b-a857-eaa02ca27f77 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey on cybersecurity knowledge graph construction.Computers & Security, 136:103524, 2024
Reference 4
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Observation 2ae7a316-e690-49ea-a53d-12d085635026 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Domain-specific knowledge graphs: A survey.Journal of Network and Computer Applications, 185:103076, 2021
Reference 5
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Observation 6b19ba27-6ee1-4581-a53f-e9acbb74eb20 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A decade of scholarly research on open knowledge graphs
Reference 6
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Observation ea02d683-8cd8-413f-baec-3047e520fa56 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Generative knowledge graph construction: A review
Reference 7
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Observation fe26fadc-d820-434f-87d6-ddac6193aff5 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Multi-modal knowledge graph construction and application: A survey.IEEE Transactions on Knowledge and Data Engineering, 36(2):715–735, 2022
Reference 8
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Observation beeb98dd-2ec9-4f2f-8068-d72ccf2d9e7a · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge graphs.ACM Computing Surveys (Csur), 54(4):1–37, 2021
Reference 9
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Observation ee2301e0-285a-45b9-a23f-589a53d1668d · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey on knowledge graphs: Representation, acquisition, and applications.IEEE transactions on neural networks and learning systems, 33(2):494–514, 2021
Reference 10
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Observation 000ca06d-c29e-4abc-8590-a967ed761c70 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A comprehensive survey on automatic knowledge graph construction.ACM Computing Surveys, 56(4):1–62, 2023
Reference 11
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Observation a3840cef-33ab-4825-99d9-87c6dc21bfb7 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal.IEEE Trans
Reference 12
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Observation 7b31b0f9-104d-41ae-a7f7-58578d87dcc8 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A comprehensive overview of knowledge graph completion.Knowledge-Based Systems, 255:109597, 2022
Reference 13
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Observation 180e8320-386f-42a8-83c9-cdf0c73a98e5 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge graph embedding: A survey from the perspective of representation spaces.ACM Computing Surveys, 56(6):1–42, 2024
Reference 14
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Observation 34ce115b-ee9e-4df4-beb9-fdefa71a037d · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Unresolved cited work
Reference 15
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Observation 5ce24449-bb7c-44c7-8dc4-25f6c6576a87 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Multilingual question answering systems for knowledge graphs - a survey
Reference 16
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Observation 92c57f94-9569-4c2f-bf44-008cbf26a2ca · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey on knowledge graph-based recommender systems.IEEE Transactions on Knowledge and Data Engineering, 34(8):3549–3568, 2020
Reference 17
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Observation cdf1ed18-7158-4bdf-bb4f-9c564de891fe · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey on knowledge graph-based recommender systems : Extended abstract
Reference 18
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Observation dc470a9e-aca5-473b-b4be-05cce9cb683a · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Fusing external knowledge resources for natural language understanding techniques: A survey.Information Fusion, 92:190–204, 2023
Reference 19
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Observation adb0ca57-4886-4dc6-a173-1fadf846ed6b · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey of knowledge enhanced pre-trained language models.IEEE Trans
Reference 20
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Observation ff70e9e1-0642-4125-ba95-58bc60ff3535 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A decade of knowledge graphs in natural language processing: A survey
Reference 21
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Observation 2566a409-1c49-475a-bda9-9ce89983cfcb · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities.Journal of Big Data, 10(1):81, 2023
Reference 22
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Observation c8919a23-d478-41a1-8e4d-94a0251a3432 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge-augmented graph machine learning for drug discovery: From precision to interpretability
Reference 23
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Observation 58dbe1b2-8b52-4a0d-81a7-d594cdebf44a · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge graphs in education and employability: A survey on applications and techniques.IEEE Access, 10:80174–80183, 2022
Reference 24
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Observation 4fe9aaf4-90a3-4a0a-a608-e147dd80f5f1 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Semantic knowledge graphs for the news: A review.ACM Computing Surveys, 55(7):1–38, 2022
Reference 25
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Observation 577fee6f-8070-4665-a610-412a55663a82 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey News graph: An enhanced knowledge graph for news recommendation
Reference 26
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Observation c06f3488-f474-448a-9224-0c256115b9f0 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Temporal knowledge graph completion: A survey
Reference 27
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Observation 99bed6f7-bd14-44e6-9645-2de6f5148cbb · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge graph quality management: A comprehensive survey.IEEE Trans
Reference 28
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Observation 6ff48f32-ee52-4a87-ad19-a7071e91a774 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Financial time series forecasting with multi-modality graph neural network.Pattern Recognition, 121:108218, 2022
Reference 29
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Observation c37c728f-0dc8-445a-8813-084003a5c44d · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions.Journal of Big Data, 11(1):18, 2024
Reference 30
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Observation cdd3cc8f-c4d1-4b5c-aaeb-256e72868f3b · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Reference 31
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Observation 3e1b09ff-c5ec-462e-944d-01069d1ba307 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey of graph neural network methods for relation extraction
Reference 32
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Observation 5a977e8d-dd36-49f6-b67e-401774e5f4da · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A review: Knowledge reasoning over knowledge graph.Expert systems with applications, 141:112948, 2020
Reference 33
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Observation 40fc8a9f-6c11-4163-bcb9-a8ed35fdef1f · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Deep Learning on Knowledge Graph for Recommender System: A Survey
Reference 34
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Observation f0a0b47f-0d22-4e54-b106-5c02f3911b02 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A Survey on Graph Neural Networks for Knowledge Graph Completion
Reference 35
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Observation 5acdb1fc-9b1c-4fe1-9303-a8d03082a268 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Graph neural networks to improve knowledge graph embedding: A survey
Reference 36
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Observation be478e13-7a25-4706-84c4-a2a19489afe0 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A review of graph neural networks and pretrained language models for knowledge graph reasoning.Neurocomputing, page 128490, 2024
Reference 37
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Observation 8117e895-aa6e-4293-9a5e-fd027a070773 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Entity alignment via graph neural networks: a component-level study
Reference 38
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Observation 52a9af90-ed62-474c-831b-86f072182b35 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Graph intelligence with large language models and prompt learning
Reference 39
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Observation 1f719308-2970-495a-8352-fd7be7b14ba4 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12):9456–9478, 2024
Reference 40
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Observation 986fcdf1-9c8d-46a5-933b-49100d655207 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey What is event knowledge graph: A survey.IEEE Transactions on Knowledge and Data Engineering, 35(7):7569–7589, 2022
Reference 41
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Observation 6b11c9eb-99a3-4f5b-8d2f-d0779e4fb053 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Introducing the knowledge graph: things, not strings.Official google blog, 5(16):3, 2012
Reference 42
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Observation 94a5fd71-dd81-4140-879b-c948957d1196 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Learning structured embeddings of knowledge bases
Reference 43
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Observation 59059a06-8942-402d-978a-2026f4251f2e · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Openkn: An open knowledge computational engine for network big data
Reference 44
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Observation e5495063-9c9c-45ca-aee2-dd46af999841 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Cn-dbpedia: A never-ending chinese knowledge extraction system
Reference 45
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Observation dde04ac9-4625-4b1b-a5c6-094ac60cdea5 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Dbpedia: A nucleus for a web of open data
Reference 46
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Observation b96bd2b9-0eaa-4ebf-b7a2-3c5ed1e1ce6d · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Freebase: a collaboratively created graph database for structuring human knowledge
Reference 47
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Observation f94b7a47-229e-4802-bdb9-e1235e8d6187 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Toward an architecture for never-ending language learning
Reference 48
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Observation 49f00467-6fde-49e3-be80-2b31ee58d2c0 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Yago3: A knowledge base from multilingual wikipedias
Reference 49
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Observation dbd0c3a4-1511-4e11-997a-7e12d85a0132 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey The harmonic memory: a knowledge graph of harmonic patterns as a trustworthy framework for computational creativity
Reference 50
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Observation 939a53be-b957-4c01-8400-92c7add1212c · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey The world literature knowledge graph
Reference 51
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Observation 740fec18-853a-494f-81ad-5366ae4bc013 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey The holocaust archival material knowledge graph
Reference 52
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Observation 55b43edd-93e0-4961-9627-736e2ea6a6dd · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Kg-treat: Pre-training for treatment effect estimation by synergizing patient data with knowledge graphs
Reference 53
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Observation 80d5aed0-1b87-492b-bf4f-119ab77cbc01 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Seqcare: Sequential training with external medical knowledge graph for diagnosis prediction in healthcare data
Reference 54
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Observation 6f2827e7-d2f1-494a-ae9b-fc2d1c189763 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A new model for learning in graph domains
Reference 55
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Observation a76b04dd-3853-40da-97b9-3f2c0f956c71 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Deep learning on graphs: A survey.IEEE Transactions on Knowledge and Data Engineering, 34(1):249–270, 2020
Reference 56
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Observation 22757745-bc99-46ef-a05e-4c9b59951873 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A comprehensive survey on graph neural networks
Reference 57
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Observation 622fff28-acc0-4482-9a3e-cc726a3e5ac5 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Unresolved cited work
Reference 58
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Observation 0100b300-7802-40e7-b7e3-deb4b059a315 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Graph attention networks.stat, 1050(20):10–48550, 2017
Reference 59
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Observation 8db7e721-c2c5-47c5-9628-49f5127931b2 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Attention-based graph neural networks: a survey.Artif
Reference 60
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Observation ecee6d1e-b256-43bf-acfb-5557166bf5a4 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Lgat: a light graph attention network focusing on message passing for semi-supervised node classification.Computing, 106(6):1729–1747, 2024
Reference 61
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Observation d0dbf18f-73d5-4c6d-97d5-9ea463740ca8 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A supervised multi-head self-attention network for nested named entity recognition
Reference 62
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Observation 49d9a386-9913-4b88-b74f-0dbd9f501537 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Mapre: An effective semantic mapping approach for low-resource relation extraction
Reference 63
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Observation c96bd7a1-97fa-4839-a1d1-5475974f45d7 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Joint extraction of entities and relations based on a novel decomposition strategy
Reference 64
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Observation 12b880fa-71fc-408d-bff5-4f7da8545305 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Toward practical entity alignment method design: Insights from new highly heterogeneous knowledge graph datasets
Reference 65
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Observation bed806cc-a422-413e-8f2b-d2d79e2e1b4b · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Tempel: Linking dynamically evolving and newly emerging entities.Advances in Neural Information Processing Systems, 35:1850–1866, 2022
Reference 66
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Observation afe51162-44dd-4bd9-9f13-96e7ecfd3569 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Multiview feature augmented neural network for knowledge graph embedding.Knowledge- Based Systems, 255:109721, 2022
Reference 67
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Observation 926ce2c1-52b7-4899-8e23-1b6b2b504769 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Neural latent space model for dynamic networks and temporal knowledge graphs
Reference 68
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Observation 265a4891-3c58-4ccb-875a-a592b19b86e7 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
Reference 69
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Observation 6b9c09a9-3d9f-4836-9e68-132b6ed63a50 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Message passing for hyper-relational knowledge graphs
Reference 70
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Observation 8436fce6-72a7-47ec-a005-b24667c2227e · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Aspectmmkg: A multi-modal knowledge graph with aspect-aware entities
Reference 71
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Observation 092559be-5369-4b8a-9981-7aff77d64f51 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Renn: A rule embedding enhanced neural network framework for temporal knowledge graph completion
Reference 72
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Observation a0bcdf40-e0ac-4cc3-9fcf-d735ee4bb422 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Confidence is not timeless: Modeling temporal validity for rule-based temporal knowledge graph forecasting
Reference 73
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Observation ea9c451f-9b16-40a2-ac84-36e41d336420 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Multi-granularity temporal question answering over knowledge graphs
Reference 74
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Observation c7fcd69a-f27e-47c2-b748-dc3d8b8f945b · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Unleashing the power of knowledge graph for recommendation via invariant learning
Reference 75
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Observation c06e954c-83d8-42ed-b473-1a80f220fb85 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Hallucination mitigation in natural language generation from large-scale open-domain knowledge graphs
Reference 76
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Observation 43cdb5f1-c6e4-4714-9f74-502e40ce429a · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Kgnn: Knowledge graph neural network for drug-drug interaction prediction
Reference 77
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Observation f17bb585-2099-432f-8468-8976d1495a99 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Nested named entity recognition with partially-observed treecrfs
Reference 78
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Observation f4d2f728-3491-48df-a7ab-0a4714810984 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Unresolved cited work
Reference 79
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Observation 8c160986-f975-4db1-ba61-3321b7f3782f · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A partition filter network for joint entity and relation extraction
Reference 80
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Observation 9cf7ccdc-a0a8-4618-abd1-fafdf676cfdc · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Leverage lexical knowledge for chinese named entity recognition via collaborative graph network
Reference 81
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Observation ac68dd94-e658-4300-b06d-f2243741c652 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A neural multi-digraph model for chinese ner with gazetteers
Reference 82
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Observation 340fbed2-da08-4935-941f-ebf35c5cfce2 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Polymorphic graph attention network for chinese ner.Expert Systems with Applications, 203:117467, 2022
Reference 83
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Observation 4c2cb02f-96ff-4a11-b206-b7ba15f7f581 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Enhanced named entity recognition based on multi-feature fusion using dual graph neural networks
Reference 84
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Observation e342c55d-88c7-4c72-86a1-5ec7e551140d · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Learning common dependency structure for unsupervised cross-domain ner
Reference 85
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Observation 355d57d1-de3d-4cd8-b8ea-20fe13c4aa19 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Gnner: Reducing overlapping in span-based ner using graph neural networks
Reference 86
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Observation d363b6bc-d3d9-4929-a7b3-e5fdac0f671b · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Randomly wired graph neural network for chinese ner.Expert Systems with Applications, 227:120245, 2023
Reference 87
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Observation 4d68203a-d225-47b8-8ac3-921e728cd966 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A lexicon-based graph neural network for chinese ner
Reference 88
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Observation cff72b2a-6a87-4afe-9472-cd24a3a8c08e · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey A multi-channel graph attention network for chinese ner
Reference 89
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Observation 0e801b91-e29e-44e4-adb0-a67cbd9155fe · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowledge-aware named entity recognition with alleviating heterogeneity
Reference 90
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Observation 03d4164b-158b-472e-adb2-d8cc3f6a08c4 · outbound
Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Semantic-enhanced graph neural network for named entity recognition in ancient chinese books.Scientific Reports, 14(1):17488, 2024
Reference 91
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Heterogeneous graph neural network with relation-aware label propagation for unbalanced node classification.Physica A: Statistical Mechanics and its Applications, 660:130369, 2025
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Trigger-gnn: a trigger-based graph neural network for nested named entity recognition
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Chinese nested entity recognition method for the finance domain based on heterogeneous graph network.Information Processing & Management, 61(5):103812, 2024
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Learning from different text-image pairs: a relation-enhanced graph convolutional network for multimodal ner
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Few-shot multimodal named entity recognition based on mutlimodal causal intervention graph
Reference 96
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Knowing false negatives: An adversarial training method for distantly supervised relation extraction
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Unresolved cited work
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Relation extraction with convolutional network over learnable syntax- transport graph
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Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey Attention guided graph convolutional networks for relation extraction
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