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Knowledge Science, Engineering and Management

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Cover of 'Knowledge Science, Engineering and Management'

Table of Contents

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    Book Overview
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    Chapter 1 A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention
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    Chapter 2 OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge
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    Chapter 3 KIR: A Knowledge-Enhanced Interpretable Recommendation Method
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    Chapter 4 ICKEM: A Tool for Estimating One’s Understanding of Conceptual Knowledge
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    Chapter 5 Cross-perspective Graph Contrastive Learning
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    Chapter 6 A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction
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    Chapter 7 Pre-train Unified Knowledge Graph Embedding with Ontology
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    Chapter 8 Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection
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    Chapter 9 A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks
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    Chapter 10 Construction Research and Applications of Industry Chain Knowledge Graphs
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    Chapter 11 Query and Neighbor-Aware Reasoning Based Multi-hop Question Answering over Knowledge Graph
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    Chapter 12 Question Answering over Knowledge Graphs with Query Path Generation
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    Chapter 13 Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn
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    Chapter 14 Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network
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    Chapter 15 Answering Complex Questions on Knowledge Graphs
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    Chapter 16 Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation
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    Chapter 17 Edge-Shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule
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    Chapter 18 Tackling Solitary Entities for Few-Shot Knowledge Graph Completion
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    Chapter 19 CP Tensor Factorization for Knowledge Graph Completion
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    Chapter 20 Signal Embeddings for Complex Logical Reasoning in Knowledge Graphs
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    Chapter 21 Data Association with Graph Network for Multi-Object Tracking
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    Chapter 22 Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network
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    Chapter 23 KGESS - A Knowledge Graph Embedding Method Based on Semantics and Structure
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    Chapter 24 Knowledge Structure-Aware Graph-Attention Networks for Knowledge Tracing
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    Chapter 25 MCSN: Multi-graph Collaborative Semantic Network for Chinese NER
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    Chapter 26 Text-Enhanced and Relational Context Based Hyperbolic Knowledge Graph Embedding
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    Chapter 27 Cross-Sentence Temporal Relation Extraction with Relative Sentence Time
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    Chapter 28 Discourse Component Recognition via Graph Neural Network in Chinese Student Argumentative Essays
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    Chapter 29 A Rating Prediction Model Based on Knowledge Modeling
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    Chapter 30 Attending to SPARQL Logs for Knowledge Representation Learning
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    Chapter 32 Concept Commons Enhanced Knowledge Graph Representation
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    Chapter 33 Relation Prediction Based on Source-Entity Behavior Preference Modeling via Heterogeneous Graph Pooling
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    Chapter 34 KEAN: Knowledge-Enhanced and Attention Network for News Recommendation
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    Chapter 35 Labeled Knowledge-Based Decision Making with Assumption-Based Argumentation
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    Chapter 36 MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation
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    Chapter 37 Recomposition of Process Choreographies Using a Graph-Based Model Repository
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    Chapter 38 Combining Knowledge Graphs with Semantic Similarity Metrics for Sentiment Analysis
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    Chapter 39 Enhanced Simple Question Answering with Contrastive Learning
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    Chapter 40 ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning
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    Chapter 41 GADN: GCN-Based Attentive Decay Network for Course Recommendation
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    Chapter 42 Discrimination of News Political Bias Based on Heterogeneous Graph Neural Network
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    Chapter 43 Graph-Based Neural Collaborative Filtering Model for Drug-Disease Associations Prediction
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    Chapter 44 ECCKG: An Eventuality-Centric Commonsense Knowledge Graph
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    Chapter 45 CKGAC: A Commonsense Knowledge Graph About Attributes of Concepts
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    Chapter 46 Attentive Capsule Graph Neural Networks for Session-Based Recommendation
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    Chapter 47 Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs
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    Chapter 48 Implementing Large-Scale ABox Materialization Using Subgraph Reasoning
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    Chapter 49 BPMN4SBP for Multi-dimensional Modeling of Sensitive Business Processes
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    Chapter 50 Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding
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    Chapter 51 Recognition of Mechanical Parts Based on Improved YOLOv4-Tiny Algorithm
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    Chapter 52 Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding
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    Chapter 53 IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies
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    Chapter 54 KnowReQA: A Knowledge-aware Retrieval Question Answering System
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    Chapter 55 Dynamic Embedding Graph Attention Networks for Temporal Knowledge Graph Completion
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    Chapter 56 Cross-CAM: Focused Visual Explanations for Deep Convolutional Networks via Training-Set Tracing
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    Chapter 57 Correction to: Attending to SPARQL Logs for Knowledge Representation Learning
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Title
Knowledge Science, Engineering and Management
Published by
Springer International Publishing, July 2022
DOI 10.1007/978-3-031-10983-6
ISBNs
978-3-03-110982-9, 978-3-03-110983-6
Editors

Memmi, Gerard, Yang, Baijian, Kong, Linghe, Zhang, Tianwei, Qiu, Meikang

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