Web and Big Data. APWeb-WAIM 2025 International Workshops: KGMA 2025, SemiBDMA 2025, MADM 2025, AIEDM 2025 and STBDM 2025, Shenyang, China, August 2830, 2025, Proceedings [Pehme köide]

.- KGMA Workshop.
.- Graph-Augmented Language Models for Strategic Reasoning:AHybrid Retrieval
Framework.
.- GrowCap: Lightweight Image Captioning with Enhanced Hard Prompts.
.- Fine-Grained Prototype-Augmented Named Entity Recognition.
.- Deep Generative Replay for Continual Relation Extraction.
.- Efficient Subgraph Matching withAdaptive Filtering and Core-Set
Prioritization.
.- Graph Neural Network-DrivenAnt Colony Optimization for Combinatorial
Problems on Graphs.
.- CXLPowered Memory Intensive Graph Processing:AComprehensive Survey.
.- Design and Implementation of a Graph Neural Network Framework for Crop
Variety Classification Based on Complex NetworkAnalysis.
.- SemiBDMA Workshop.
.- MSPD: Large Language Model Parallel Speculative Decoding Method with
Multi-level Early Exiting.
.- ANewYiFont Generation using Diffusion Model.
.- AsAI Meets Gaokao: Fine-Tuning GPT-4o for Enhanced Performance in
Objective Questions.
.- Scene-Aware Multi-Agents on Collaborative Retrieval Augmented Generation
Model.
.- Cascaded dense networks for super-resolution of face images.
.- Image Super-Resolution via Dense Convolutional Neural Network in Curvelet
Transform Domain.
.- Design and Practice of Ship Real-time CollisionAvoidance System Based
onArtificial Intelligence.
.- AChinese Named Entity RecognitionApproach with Multi-HeadAttention.
.- AFeature-Clustering Algorithm Based on K-Medoids.
.- Tilt Correction of Italic Character Images.
.- SRBDMA Workshop.
.- DITS: Double Imputation for Enhanced Irregular Multivariate Time Series
Classification.
.- Transmission Tower Inspection Drone Hub Deployment Optimization System
Based on DeepSeek Large Language Model.
.- SGDA: ClassAugmentation for Imbalanced Graph Learning at Scale.
.- zkANN: Efficient and Verifiable ANN Search with Enhanced Data Privacy.
.- Text Classification Method Based on Hypergraph Convolutional Network and
Attention Mechanism.
.- Enhancing Traffic Sign Detection with EEM-YOLO for Complex Scenarios.
.- Knowledge Hypergraph Link Prediction Based onAttention and Relational
Contrast Learning.
.- GDMMA Workshop.
.- Multi-hop Reasoning Method Oriented QuestionAnswering in Time-constrained
Temporal Knowledge Graph.
.- M4-Greedy: Visualization-Oriented Representative Selection of Time Series
Data.
.- MAD-GCN: Multi-Attention Diffusion based Graph Convolutional Network for
Traffic Flow Forecasting.