The proceedings contain 29 papers. The special focus in this conference is on databasesystems for advancedapplications. The topics include: An Attention-Based Approach to Rule Learning in Large Knowledge Graphs;mult...
ISBN:
(纸本)9783030732158
The proceedings contain 29 papers. The special focus in this conference is on databasesystems for advancedapplications. The topics include: An Attention-Based Approach to Rule Learning in Large Knowledge Graphs;multi-scale Gated Inpainting Network with Patch-Wise Spacial Attention;An Improved CNNLSTM Algorithm for Automatic Detection of Arrhythmia Based on Electrocardiogram Signal;Cross-Domain Text Classification Based on BERT Model;Surface Defect Detection Method of Hot Rolling Strip Based on Improved SSD Model;continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance;deep Learning-Based Dynamic Community Discovery;Deep Attributed Network Embedding Based on the PPMI;discovering Spatial Co-location Patterns with Dominant Influencing Features in Anomalous Regions;ROPW: An Online Trajectory Compression Algorithm;activity Organization Queries for Location-Aware Heterogeneous Information Network;combining Oversampling with Recurrent Neural Networks for Intrusion Detection;multi-head Attention with Hint Mechanisms for Joint Extraction of Entity and Relation;maximum (L, K)-Lasting Cores in Temporal Social Networks;a Tablet-Based Game Tool for Cognition Training of Seniors with Mild Cognitive Impairment;AntiPhiMBS-Auth: A New Anti-phishing Model to Mitigate Phishing Attacks in Mobile Banking System at Authentication Level;BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing;a Novel Road Segment Representation Method for Travel Time Estimation;privacy Protection for Medical Image Management Based on Blockchain;approximate Nearest Neighbor Search Using Query-Directed Dense Graph;HTF: An Effective Algorithm for Time Series to Recover Missing Blocks;LAA: Inductive Community Detection Algorithm Based on Label Aggregation;modeling and Querying Similar Trajectory in Inconsistent Spatial Data;ESTI: Efficient k-Hop Reachability Querying over Large General Directed Graphs.
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 23 papers. The special focus in this conference is on international conference on database systems for advanced applications. The topics include: Mobile Application Ranking with Transducti...
ISBN:
(纸本)9783031354144
The proceedings contain 23 papers. The special focus in this conference is on international conference on database systems for advanced applications. The topics include: Mobile Application Ranking with Transductive Transfer Learning;vessel Trajectory Segmentation: A Survey;deep Normalization Cross-Modal Retrieval for Trajectory and Image Matching;C3 BR: Category-Aware Cross-View Contrastive Learning Framework for Bundle Recommendation;threat Action Extraction Based on Coreference Resolution;an Improved Method for Constructing Domain-Agnostic Knowledge Graphs;zero-Shot Entity Typing in Knowledge Graphs;Causal MRC: Mitigating Position Bias Based on Causal Graph;construct Fine-Grained Geospatial Knowledge Graph;ip2text: A Reasoning-Aware Dataset for Text Generation of Devices on the Internet;a Multi-view Graph Learning Approach for Host-Based Malicious Behavior Detection;CECR: Collaborative Semantic Reasoning on the Cloud and Edge;data-Augmented Counterfactual Learning for Bundle Recommendation;multi-domain Fake News Detection with Fuzzy Labels;spatio-Textual Group Skyline Query;Towards a Cash-on-Delivery Management Solution Based on Blockchain, Smart Contracts, and NFT;EGL: Efficient Graph Learning with Safety Constrains for Heterogeneous Trajectory Prediction;meFormer: Generating Radiology Reports via Memory Enhanced Pretraining Transformer;cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders;syndrome-Aware Herb Recommendation with Heterogeneous Graph Neural Network;fault Prediction Based on Traffic Light Data Cleaning.
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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