Database Systems for Advanced Applications
Springer Verlag, Singapore
978-981-95-3829-4 (ISBN)
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The 136 full papers presented in this book together with 89 short papers were carefully reviewed and selected from 731 submissions. They cover topics such as
Part I- Machine Learning and Text.
Part II- Emerging Application; NLP and Spatial-Temporal.
Part III- Graph; Knowledge Graph.
Part V- Recommendation and Security & Privacy.
Part VI- Language Model; Industry Papers and Demo Papers.
.- Emerging Application.
.- UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.
.- MSAQE: A Large-scale Dataset for Multi-view Scenic Areas Quality Evaluation.
.- Experts2team: Task Relevance-Induced Team Formation by Combining Global Cohesion with Local Decoupling.
.- From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance.
.- RasterPIP: Answering Point-in-polygon Query with GPU-native Transformation and Rasterization.
.- A Universal Framework for Compressing Embeddings in CTR Prediction.
.- Fairness-Aware Ride-sharing Assignment.
.- RADIO: Effective and Efficient Anomalous Subgraph Discovery in Financial Networks.
.- Design and Implementation of Decentralized Data Protection Protocol for Generative AI.
.- Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models.
.- MVIC: Multi-View Information Collaborative Fusion for Drug-Drug Interaction Prediction.
.- Killing two birds with one stone: A Spatio-Temporal Prompt for the Inductive Traffic Extrapolation.
.- NLP
.- PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency.
.- Enhancing Zero-shot Emotion Perception in Conversation through the Internal-to-External Chain-of Thought.
.- Enhancing Multi-turn Dialogue Consistency with Localized-Generalized Persona Expansion.
.- Breaking Size Barrier: Enhancing Reasoning for Large-size Table Question Answering.
.- A Structure-aware Generative Model for Biomedical Event Extraction.
.- Asking Diversified Reasonable Questions with External Commonsense Knowledge to Infer Inconsistency for Multi-modal Clickbait Detection.
.- Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis.
.- GoT-R: Enhancing Large Language Models for Complex Question Answering with Graph-of-Thought Guided Reasoning.
.- From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction.
.- T3SVFND: Towards an Evolving Fake News Detector for Emergencies with Test-time Training on Short Video Platforms.
.- DlGR-KB: Dual-level Graph Reasoning with Key Block Decoupling for Multi-Party Dialogue Reading Comprehension.
.- Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs.
.- Decompose then Discriminate: LLMs-Grounded In-Context Learning for Few-Shot Knowledge Base Question Answering.
.- Rule Mining from Text: A Semantic-Relational Logic Approach.
.- MR-SQL: Multi-Level Retrieval Enhances Inference for LLM in Text-to-SQL.
.- BRIDGE-Embed: A Novel LLM-based Document and Sentence Retrieval Method.
.- Correlation-Aware Reordered Scanning Mamba for Multivariate Time Series Forecasting.
.- CoopKG: An Academic Knowledge Graph for Question Answering Systems.
.- Chain-of-Thought Prompting with Causal Intervention for Multimodal Aspect-based Sentiment Analysis.
.- A Large Language Model Guided Topic Refinement Mechanism for Short Text Modeling.
.- SimRe: A Simulation of Memes Recreation for Memes Category Detection.
.- HF-Mamba: Improving Multimodal Classification via Hierarchical Fusion based on Mamba.
.- Augmenting Transformers with Enhanced Dependency Structures by Treating Relations as New Words.
.- Tuning Vision-Language Models with Candidate Labels by Prompt Alignment.
.- Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs.
.- SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting.
.- Unsupervised Fact Error Correction Modeling by Using Span-Level Contrastive Learning.
.- Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context.
.- CELLM: Curvature Enhanced Large Language Models for Graph Structure Learning.
.- Aspect-Aware Affective Focus Network For Joint Multimodal Aspect Sentiment Analysis.
.- Spatial-Temporal.
.- STGDPM:Vessel Trajectory Prediction with Spatio-Temporal Graph Diffusion Probabilistic Model.
.- DRENet: A Dual-branch Road Extraction Network for Enhanced Connectivity.
.- Towards An Efficient and Effective En Route Travel Time Estimation Framework.
.- Time-aware Meta-path Aggregation on Heterogeneous Temporal Graphs.
.- STSC-Net: Leveraging Spatial, Temporal, and Semantic Context for Road Network Trajectory Prediction.
.- Durable Community Search on Temporal Graphs.
.- Boost Dynamic Community Detection via Exploiting Member Transition Information.
.- MCTM: Multi-Chord Distributed System for Efficient Trajectory Data Management in Mobile Edge Computing.
.- Continuous Dynamic Modeling via Neural ODEs for Popularity Trajectory Prediction.
.- Structural Entropy Based Spatio-temporal Sequence Forecasting.
.- Grayscale Image-based Top-k Spatial Dataset Search Processing.
.- EPMC: An Enhanced Pre-training Model for Cellular Trajectory Representation Learning.
.- Enriching Complex Event Forecasting with Nested Patterns.
.- Enhancing Cross-Lingual Dialogue Summarization through Interpretable Chain-of-Thought.
.- Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting.
.- TS-FourierLLM: Frozen Frequency-Domain Large Language Blocks for Enhancing Time-Series Modeling.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | 257 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Graph • Knowledge graph • Language Model • machine learning • NLP • privacy • Recommendation • security • Time Series |
| ISBN-10 | 981-95-3829-7 / 9819538297 |
| ISBN-13 | 978-981-95-3829-4 / 9789819538294 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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