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Combining prompt learning with contextual semantics for inductive relation prediction

Expert systems with applications, 2024-03, Vol.238, p.121669, Article 121669

2024

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Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE)

Journal of hazardous materials, 2024-07, Vol.472, p.134456-134456, Article 134456

2024

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Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction

Information processing & management, 2024-07, Vol.61 (4), Article 103737

2024

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Dual attentional transformer for video visual relation prediction

Neurocomputing (Amsterdam), 2023-09, Vol.550, p.126372, Article 126372

2023

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Relation-dependent contrastive learning with cluster sampling for inductive relation prediction

Neurocomputing (Amsterdam), 2024-04, Vol.579, Article 127425

2024

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CR-LCRP: Course recommendation based on Learner–Course Relation Prediction with data augmentation in a heterogeneous view

Expert systems with applications, 2024-09, Vol.249, Article 123777

2024

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Knowledge Graph Completion: A Review

IEEE access, 2020, Vol.8, p.192435-192456

2020

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Action class relation detection and classification across multiple video datasets

Pattern recognition letters, 2023-09, Vol.173, p.93-100

2023

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Multi-relational dynamic graph representation learning

Neurocomputing (Amsterdam), 2023-11, Vol.558, p.126688, Article 126688

2023

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Contextual relation embedding and interpretable triplet capsule for inductive relation prediction

Neurocomputing (Amsterdam), 2022-09, Vol.505, p.80-91

2022

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Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs

IEEE transactions on knowledge and data engineering, 2023-10, Vol.35 (10), p.1-14

2023

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Heterogeneous representation learning and matching for few-shot relation prediction

Pattern recognition, 2022-11, Vol.131, p.108830, Article 108830

2022

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Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs

IEEE transaction on neural networks and learning systems, 2022-11, Vol.33 (11), p.6712-6725

2022

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IEEE_Xplore

ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction

International arab journal of information technology, 2024-01, Vol.21 (1)

2024

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Cross-knowledge-graph entity alignment via relation prediction

Knowledge-based systems, 2022-03, Vol.240, p.107813, Article 107813

2022

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Learning higher-order features for relation prediction in knowledge hypergraph

Knowledge-based systems, 2024-04, Vol.289, Article 111510

2024

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Dynamic graph dropout for subgraph-based relation prediction

Knowledge-based systems, 2022-08, Vol.250, p.109172, Article 109172

2022

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ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion

Expert systems with applications, 2024-07, Vol.246, p.123116, Article 123116

2024

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Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning

IEEE transactions on knowledge and data engineering, 2023-06, Vol.35 (6), p.6512-6517

2023

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IEEE_Xplore

HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation

Knowledge-based systems, 2020-11, Vol.207, p.106389, Article 106389

2020

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N-ary relation prediction based on knowledge graphs with important entity detection

Expert systems with applications, 2023-07, Vol.221, p.119755, Article 119755

2023

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Self-prediction of relations in GO facilitates its quality auditing

Journal of biomedical informatics, 2023-08, Vol.144, p.104441-104441, Article 104441

2023

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ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

IEEE transactions on multimedia, 2024-01, Vol.26, p.1-12

2024

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IEEE_Xplore

Compressive property analysis and strength versus slenderness ratio relation prediction for carbon/glass hybrid fiber reinforced polymer bars

Construction & building materials, 2022-01, Vol.317, p.125955, Article 125955

2022

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T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation

IEEE transactions on knowledge and data engineering, 2022-06, Vol.34 (6), p.2988-3001

2022

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IEEE_Xplore

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Combining prompt learning with contextual semantics for inductive relation prediction

Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE)

Entity neighborhood awareness and hierarchical message aggregation for inductive relation prediction

Dual attentional transformer for video visual relation prediction

Relation-dependent contrastive learning with cluster sampling for inductive relation prediction

CR-LCRP: Course recommendation based on Learner–Course Relation Prediction with data augmentation in a heterogeneous view

Knowledge Graph Completion: A Review

Action class relation detection and classification across multiple video datasets

Multi-relational dynamic graph representation learning

Contextual relation embedding and interpretable triplet capsule for inductive relation prediction

Few-Shot Semantic Relation Prediction Across Heterogeneous Graphs

Heterogeneous representation learning and matching for few-shot relation prediction

Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs

ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction

Cross-knowledge-graph entity alignment via relation prediction

Learning higher-order features for relation prediction in knowledge hypergraph

Dynamic graph dropout for subgraph-based relation prediction

ConeE: Global and local context-enhanced embedding for inductive knowledge graph completion

Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning

HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation

N-ary relation prediction based on knowledge graphs with important entity detection

Self-prediction of relations in GO facilitates its quality auditing

ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries

Compressive property analysis and strength versus slenderness ratio relation prediction for carbon/glass hybrid fiber reinforced polymer bars

T-PAIR: Temporal Node-Pair Embedding for Automatic Biomedical Hypothesis Generation

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