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Author:   Raymond Chi-Wing Wong ,  Hanghang Tong ,  Hua Lu ,  James Kwok
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
ISBN:  

9789819212996

ISBN 10:   9819212995
Pages:   615
Publication Date:   08 July 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

.- Estimating Subgraph Importance with Structural Prior Domain Knowledge. .- A hierarchy tree data structure for behavior-based user segment representation. .- S2tory: Story Spine Distillation for Movie Script Summarization. .- Spatio-temporal Context-aware Web Service QoS Prediction via Contrastive Learning. .- ShipTraj-R1: Reinforcing Ship Trajectory Prediction in Large Language Models via Group Relative Policy Optimization. .- Enhancing Graph Neural Networks with Adaptive Relation Learning via Variational Inference. .- ABK: Autonomous Bee Keeper – Beyond Monitoring and Onto Control. .- Cross-domain Aspect Sentiment Triplet Extraction Based on Generative Data Augmentation and Pseudo-label Optimization. .- TARP: An Effective and Efficient Route Prediction Method via Uncertainty-aware Traffic Imputation and Divide-and-Conquer Inference. .- Boosting Black-box Graph Reconstruction Attacks via Adjacency Relationship Recovery of Representative Nodes. .- Unified Local and Global Structure Learning for Feature Selection. .- When SpikeKANFormer meets Angular contrastive learning. .- NANSDE-Net: A NEURAL SDE FRAMEWORK FOR GENERATING TIME SERIES WITH MEMORY. .- Dual-Modality Latent Gloss Alignment for Gloss-free Sign Language Translation. .- Subject Information Extraction for Novelty Detection with Domain Shifts. .- A VMD-Prior-guided Adaptive Learning Method for Multi-step Industrial Time Series Forecasting. .- SGTRec: Integrating Spectral Encoding with Graph Neural Networks and Transformers for Recommendation. .- PAED: Physics-Anchored and Emotion Disentangled Memory Diffusion for Talking Face Generation. .- CeeDet: A Class-Incremental Learning Method with Early-Exit Mechanism for Malicious Traffic Detection in IIoT. .- MUNet: A Multi-Outcome Uplift Network for Modeling Multi-Dimensional Treatment Effects. .- ProvGrapher: A Top-K Approximate Tuple-Level Data Provenance Framework via Graph Neural Network. .- SDMC-Mamba: Steel Surface Defect Detection Based on DDIM Enhanced Mamba with Multi-Module Collaboration. .- TabTokWak: Token(less)-Value Watermarking for Tabular Foundational Models. .- DENI: A Density-Enhanced Hybrid Sampling Framework with Neighborhood Information for Noisy Imbalanced Classification. .- Probabilistic-Gap-Driven Relabeling Method for Positive-Negative-Unlabeled Learning with Label Selection Bias. .- HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs. .- EXCODER: EXplainable Classification Of DiscretE time series Representations. .- Neural-Symbolic Logic Query Answering in Non-Euclidean Space. .- LAPTG: Length-Aligned Attentive Prefix-Target Graph for Sequential Recommendation. .- Dual Nonlinear Sparse Feature Selection Method. .- HEIR-Nets: Hierarchical Ensemble with Inheritance-based Refinement Networks for Sperm Target Detection with Noisy Labels. .- SEEDS: Curriculum-Driven Adaptive Regression Contrastive Learning for Robust Evidence-based Depression Severity Classification. .- Dual Self-Expression Subspace Clustering with Multi-Scale Features and Structural Consistency Alignment. .- AnomalyFilter: Selective Denoising Diffusion Model for Time Series Anomaly Detection. .- Nonlinear Characteristic-Driven Partial Multi-Label Learning. .- Partial Multi-Label Learning via Label Anchor Graph. .- Empowering Contactless Sleep Health Monitoring with Multi-task Learning. .- Triangle Counting under Edge Relationship Local Differential Privacy: The Case of Restricted Extended Local Views. .- Leveraging Variational Information Bottleneck for Fine-grained Urban Traffic Flow Inference. .- Self-Weighted Contrastive Fusion for Deep Multi-View scRNA-seq Clustering. .- When +1% Is Not Enough: A Paired Bootstrap Protocol for Evaluating Small Improvements. .- DDCG : Dual-granularity Dual-domain Collaborative Graph Neural Networks for Time Series Forecasting. .- A Transductive Model-Agnostic Contrastive Learning Framework for Few-Shot Learning. .- IAMRec: Intent-Adaptive Multimodal Recommendation with Collaborative–Modality Disentanglement. .- MPRL: Multi-Perspective Reinforcement Learning for Enhancing Format Adherence Capability of Large Language Models. .- SegPPMTS: Unsupervised Segmentation for Pseudo-Periodic Medical Time Series. .- Prototype Fusion: A Training-Free Multi-Layer Approach to OOD Detection.        

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