the proceedings contain 11 papers. the special focus in this conference is on Electronic Government and the Information systems Perspective. the topics include: Smart Solutions in AgriTech: Research Trajectories ...
ISBN:
(纸本)9783031126727
the proceedings contain 11 papers. the special focus in this conference is on Electronic Government and the Information systems Perspective. the topics include: Smart Solutions in AgriTech: Research Trajectories in the Digital Transition;object Relational Mapping Vs. Event-Sourcing: Systematic Review;foundation Models in Healthcare: Opportunities, Biases and Regulatory Prospects in Europe;Towards a Method for the Formulation of an EGOV Strategy Considering international Rankings;semantic Annotation of Parliamentary Debates and Legislative Intelligence Enhancing Citizen Experience;Can the GDPR Allay Privacy Concerns Towards Smart Products? the Effect of a Compliance Seal on Perceived Data Security, Trust, and Intention to Use;comparative Analysis of Classification Algorithms Applied to Circular Trading Prediction Scenarios;Hybrid AI to Support the Implementation of the European Directive;Derogations Analysis of European Legislation through Hybrid AI Approach.
the proceedings contain 10 papers. the special focus in this conference is on Biological Knowledge Discovery from Data. the topics include: TopicsRanksDC: Distance-Based Topic Ranking Applied on Two-Class Data;YASSi: ...
ISBN:
(纸本)9783030590277
the proceedings contain 10 papers. the special focus in this conference is on Biological Knowledge Discovery from Data. the topics include: TopicsRanksDC: Distance-Based Topic Ranking Applied on Two-Class Data;YASSi: Yet Another Symbolic Simulator Large (Tool Demo);variational Optimization of Informational Privacy;An Architecture for Automated Security Test Case Generation for MQTT systems;mode Switching from a Security Perspective: First Findings of a Systematic Literature Review;Exploiting MQTT-SN for Distributed Reflection Denial-of-Service Attacks;exploring the Influence of Data Aggregation in Parking Prediction;Building Knowledge Graph in Spark Without SPARQL.
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819757787
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755547
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755684
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755516
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755714
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755745
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Eva...
ISBN:
(纸本)9789819755615
the proceedings contain 87 papers. the special focus in this conference is on databasesystems for advancedapplications. the topics include: Higher-Order Graph Contrastive Learning for Recommendation;FNDPro: Evaluating the Importance of Propagations during Fake News Spread;leveraging Homophily-Augmented Energy Propagation for Bot Detection on Graphs;multi-level Contrastive Learning on Weak Social Networks for Information Diffusion Prediction;biasRec: A General Bias-Aware Social Recommendation Model;beyond the Known: Novel Class Discovery for Open-World Graph Learning;robust Graph Recommendation via Noise-Aware Adversarial Perturbation;learning Social Graph for Inactive User Recommendation;MANE: A Multi-cascade Adversarial Network Embedding Model for Anchor Link Prediction;uTransfer: Unified Transferability Metric Incorporating Heterogeneous User Data in Social Network;GPSR: Graph Prompt for Session-Based Recommendation;guiding Graph Learning with Denoised Modality for Multi-modal Recommendation;enhancing Multi-view Contrastive Learning for Graph Anomaly Detection;global Route Planning for Large-Scale Requests on Traffic-Aware Road Network;TransGAD: A Transformer-Based Autoencoder for Graph Anomaly Detection;unsupervised Node Clustering via Contrastive Hard Sampling;DySDGNN: Representation Learning in Dynamic Signed Directed Networks;multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation;EGNN-AD: An Effective Graph Neural Network-Based Approach for Anomaly Detection on Edge-Attributed Graphs;diffusion Model-Enhanced Contrastive Learning for Graph Representation;H2GNN: Graph Neural Networks with Homophilic and Heterophilic Feature Aggregations;Super-Node Generation for GNN-Based Recommender systems: Enhancing Distant Node Integration via Graph Coarsening;history Driven Sampling for Scalable Graph Neural Networks;subgraph Patterns Enhanced Graph Neural Network for Fraud Detection;advancing Latent Representation Ranking fo
the proceedings contain 26 papers. the special focus in this conference is on Big Data Management and Service. the topics include: FAIth: A Fast, Accurate, and Lightweight database-Agnostic Learned Cost Model;fas...
ISBN:
(纸本)9789819609130
the proceedings contain 26 papers. the special focus in this conference is on Big Data Management and Service. the topics include: FAIth: A Fast, Accurate, and Lightweight database-Agnostic Learned Cost Model;fast Approximate Temporal Butterfly Counting on Bipartite Graphs via Edge Sampling;Financial-ICS: Identifying Peer Firms via LongBERT from 10K Reports;establishing a Decentralized Diamond Quality Management System: Advancing Towards Global Standardization;co-estimation of Data Types and their Positional Distribution;Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads;audio-Guided Visual Knowledge Representation;boundary Point Detection Combining Gravity and Outlier Detection Methods;A Meta-learning Approach for Category-Aware Sequential Recommendation on POIs;automatic Post-editing of Speech Recognition System Output Using Large Language Models;comparative Analysis with Multiple Large-Scale Language Models for Automatic Generation of Funny Dialogues;effectiveness of the Programmed Visual Contents Comparison Method for Two Phase Collaborative Learning in Computer Programming Education: A Case Study;generating Achievement Relationship Graph Between Actions for Alternative Solution Recommendation;generating News Headline Containing Specific Person Name;Investigating Evidence in Sentence Similarity Using MASK in BERT;acceleration of Synopsis Construction for Bounded Approximate Query Processing;Query Expansion in Food Review Search with Synonymous Phrase Generation by LLM;Question Answer Summary Generation from Unstructured Texts by Using LLMs;Real Estate Information Exploration in VR with LoD Control by Physical Distance;voices of Asynchronous Learning Students: Revealing Learning Characteristics through Vocabulary Analysis of Notes Tagged in Videos;review Search Interface Based on Search Result Summarization Using Large Language Model;yes-No Flowchart Generation for Interactive Exploration of Personalized Health Improve
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