ENGLISH

Knowledge Science, Engineering and Management: 15th International Conference, KSEM 2022, Singapore, August 6–8, 2022, Proceedings, Part I

Book information

Publisher
Springer
Year
2022
ISBN
9783031109829, 9783031109836
Language
english
Format
PDF
Filesize
19 MB (20168758 bytes)
Series
Lecture Notes in Computer Science, 13368
Pages
1545\1546
Time added
2022-10-27 23:25:44

Description

Cover Front Matter Knowledge Science with Learning and AI (KSLA) A Decoupled YOLOv5 with Deformable Convolution and Multi-scale Attention OTE: An Optimized Chinese Short Text Matching Algorithm Based on External Knowledge KIR: A Knowledge-Enhanced Interpretable Recommendation Method ICKEM: A Tool for Estimating One’s Understanding of Conceptual Knowledge Cross-perspective Graph Contrastive Learning A Multi-scale Convolution and Gated Recurrent Unit Based Network for Limit Order Book Prediction Pre-train Unified Knowledge Graph Embedding with Ontology Improving Dialogue Generation with Commonsense Knowledge Fusion and Selection A Study of Event Multi-triple Extraction Methods Based on Edge-Enhanced Graph Convolution Networks Construction Research and Applications of Industry Chain Knowledge Graphs Query and Neighbor-Aware Reasoning Based Multi-hop Question Answering over Knowledge Graph Question Answering over Knowledge Graphs with Query Path Generation Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn Knowledge Concept Recommender Based on Structure Enhanced Interaction Graph Neural Network Answering Complex Questions on Knowledge Graphs Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation Edge-Shared GraphSAGE: A New Method of Buffer Calculation for Parallel Management of Big Data Project Schedule Tackling Solitary Entities for Few-Shot Knowledge Graph Completion CP Tensor Factorization for Knowledge Graph Completion Signal Embeddings for Complex Logical Reasoning in Knowledge Graphs Data Association with Graph Network for Multi-Object Tracking Knowledge Graph Embedding with Direct and Disentangled Neighborhood Representation Attention Network KGESS - A Knowledge Graph Embedding Method Based on Semantics and Structure Knowledge Structure-Aware Graph-Attention Networks for Knowledge Tracing MCSN: Multi-graph Collaborative Semantic Network for Chinese NER Text-Enhanced and Relational Context Based Hyperbolic Knowledge Graph Embedding Cross-Sentence Temporal Relation Extraction with Relative Sentence Time Discourse Component Recognition via Graph Neural Network in Chinese Student Argumentative Essays A Rating Prediction Model Based on Knowledge Modeling Attending to SPARQL Logs for Knowledge Representation Learning DBGARE: Across-Within Dual Bipartite Graph Attention for Enhancing Distantly Supervised Relation Extraction Concept Commons Enhanced Knowledge Graph Representation Relation Prediction Based on Source-Entity Behavior Preference Modeling via Heterogeneous Graph Pooling KEAN: Knowledge-Enhanced and Attention Network for News Recommendation Labeled Knowledge-Based Decision Making with Assumption-Based Argumentation MGR: Metric Learning with Graph Neural Networks for Multi-behavior Recommendation Recomposition of Process Choreographies Using a Graph-Based Model Repository Combining Knowledge Graphs with Semantic Similarity Metrics for Sentiment Analysis Enhanced Simple Question Answering with Contrastive Learning ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning GADN: GCN-Based Attentive Decay Network for Course Recommendation Discrimination of News Political Bias Based on Heterogeneous Graph Neural Network Graph-Based Neural Collaborative Filtering Model for Drug-Disease Associations Prediction ECCKG: An Eventuality-Centric Commonsense Knowledge Graph CKGAC: A Commonsense Knowledge Graph About Attributes of Concepts Attentive Capsule Graph Neural Networks for Session-Based Recommendation Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs Implementing Large-Scale ABox Materialization Using Subgraph Reasoning BPMN4SBP for Multi-dimensional Modeling of Sensitive Business Processes Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding Recognition of Mechanical Parts Based on Improved YOLOv4-Tiny Algorithm Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding IMDb30: A Multi-relational Knowledge Graph Dataset of IMDb Movies KnowReQA: A Knowledge-aware Retrieval Question Answering System Dynamic Embedding Graph Attention Networks for Temporal Knowledge Graph Completion Cross-CAM: Focused Visual Explanations for Deep Convolutional Networks via Training-Set Tracing Back Matter Copyright Title Page Dedication Contents Chapter 1: ‘I’m thinking’ – Oh, but are you? Chapter 2: Renegade perception Chapter 3: The Pushbacker sting Chapter 4: ‘Covid’: The calculated catastrophe Chapter 5: There is no ‘virus’ Chapter 6: Sequence of deceit Chapter 7: War on your mind Chapter 8: ‘Reframing’ insanity Chapter 9: We must have it? So what is it? Chapter 10: Human 2.0 Chapter 11: Who controls the Cult? Chapter 12: Escaping Wetiko Postscript Appendix: Cowan-Kaufman-Morell Statement on Virus Isolation Bibliography Index

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