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.