the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Train...
ISBN:
(纸本)9783031402883
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Training;dual-Dimensional Refinement of Knowledge Graph Embedding Representation;contextual Information Augmented Few-Shot Relation Extraction;dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks;an Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection;low Redundancy Learning for Unsupervised Multi-view Feature Selection;Dynamic Feed-Forward LSTM;black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge;role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks;automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis;twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion;subspace Clustering with Feature Grouping for Categorical Data;learning Graph Neural Networks on Feature-Missing Graphs;dealing with Over-Reliance on Background Graph for Few-Shot Knowledge Graph Completion;kernel-Based Feature Extraction for Time Series Clustering;cluster Robust Inference for Embedding-Based Knowledge Graph Completion;community-Enhanced Contrastive Siamese Networks for Graph Representation Learning;Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention;enhancing Adversarial Robustness via Anomaly-aware Adversarial Training;an Improved Cross-Validated Adversarial Validation Method;boosting LightWeight Depth Estimation via Knowledge Distillation;EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification;a Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data;dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation;multi-Dimensional Graph Rule Learner;MixUN
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Train...
ISBN:
(纸本)9783031402852
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Training;dual-Dimensional Refinement of Knowledge Graph Embedding Representation;contextual Information Augmented Few-Shot Relation Extraction;dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks;an Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection;low Redundancy Learning for Unsupervised Multi-view Feature Selection;Dynamic Feed-Forward LSTM;black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge;role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks;automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis;twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion;subspace Clustering with Feature Grouping for Categorical Data;learning Graph Neural Networks on Feature-Missing Graphs;dealing with Over-Reliance on Background Graph for Few-Shot Knowledge Graph Completion;kernel-Based Feature Extraction for Time Series Clustering;cluster Robust Inference for Embedding-Based Knowledge Graph Completion;community-Enhanced Contrastive Siamese Networks for Graph Representation Learning;Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention;enhancing Adversarial Robustness via Anomaly-aware Adversarial Training;an Improved Cross-Validated Adversarial Validation Method;boosting LightWeight Depth Estimation via Knowledge Distillation;EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification;a Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data;dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation;multi-Dimensional Graph Rule Learner;MixUN
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Train...
ISBN:
(纸本)9783031402913
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Training;dual-Dimensional Refinement of Knowledge Graph Embedding Representation;contextual Information Augmented Few-Shot Relation Extraction;dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks;an Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection;low Redundancy Learning for Unsupervised Multi-view Feature Selection;Dynamic Feed-Forward LSTM;black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge;role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks;automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis;twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion;subspace Clustering with Feature Grouping for Categorical Data;learning Graph Neural Networks on Feature-Missing Graphs;dealing with Over-Reliance on Background Graph for Few-Shot Knowledge Graph Completion;kernel-Based Feature Extraction for Time Series Clustering;cluster Robust Inference for Embedding-Based Knowledge Graph Completion;community-Enhanced Contrastive Siamese Networks for Graph Representation Learning;Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention;enhancing Adversarial Robustness via Anomaly-aware Adversarial Training;an Improved Cross-Validated Adversarial Validation Method;boosting LightWeight Depth Estimation via Knowledge Distillation;EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification;a Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data;dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation;multi-Dimensional Graph Rule Learner;MixUN
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Train...
ISBN:
(纸本)9783031402821
the proceedings contain 37 papers. the special focus in this conference is on Knowledge science, engineering and management. the topics include: A Sparse Matrix Optimization Method for Graph Neural Networks Training;dual-Dimensional Refinement of Knowledge Graph Embedding Representation;contextual Information Augmented Few-Shot Relation Extraction;dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks;an Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection;low Redundancy Learning for Unsupervised Multi-view Feature Selection;Dynamic Feed-Forward LSTM;black-Box Adversarial Attack on Graph Neural Networks Based on Node Domain Knowledge;role and Relationship-Aware Representation Learning for Complex Coupled Dynamic Heterogeneous Networks;automatic Gaussian Bandwidth Selection for Kernel Principal Component Analysis;twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion;subspace Clustering with Feature Grouping for Categorical Data;learning Graph Neural Networks on Feature-Missing Graphs;dealing with Over-Reliance on Background Graph for Few-Shot Knowledge Graph Completion;kernel-Based Feature Extraction for Time Series Clustering;cluster Robust Inference for Embedding-Based Knowledge Graph Completion;community-Enhanced Contrastive Siamese Networks for Graph Representation Learning;Distant Supervision Relation Extraction with Improved PCNN and Multi-level Attention;enhancing Adversarial Robustness via Anomaly-aware Adversarial Training;an Improved Cross-Validated Adversarial Validation Method;boosting LightWeight Depth Estimation via Knowledge Distillation;EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification;a Flexible Generative Model for Joint Label-Structure Estimation from Multifaceted Graph Data;dual Channel Knowledge Graph Embedding with Ontology Guided Data Augmentation;multi-Dimensional Graph Rule Learner;MixUN
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focu...
ISBN:
(纸本)9789897587160
the proceedings contain 123 papers. the topics discussed include: supervised machine learning models and schema matching techniques for ontology alignment;framework for a knowledge-based course recommender system focused on IT career needs;optimization of methods for querying formal ontologies in natural language using a neural network;personalized asthma recommendation system: leveraging predictive analysis and semantic ontology-based knowledge graph;elementary multiperspective material ontology: leveraging perspectives via a showcase of EMMO-based domain and application ontologies;positive-unlabeled learning using pairwise similarity a parametric minimum cuts;efficient visualization of association rule mining using the rules;predicting post myocardial infarction complication: a study dual-modality and imbalanced flow cytometry data;a model for designing personalized and context-aware nudges;automatic transcription systems: a game changer for court hearings;scientific claim verification with fine-tuned NLI models;and assessing the use of online platforms in sharing tacit knowledge in innovation networks.
the proceedings contain 4 papers. the topics discussed include: phishing domain name detection based on hierarchical fusion of multimodal features;validating crowdsourced flood images using machine learning and real-t...
ISBN:
(纸本)9781665465236
the proceedings contain 4 papers. the topics discussed include: phishing domain name detection based on hierarchical fusion of multimodal features;validating crowdsourced flood images using machine learning and real-time weather data;intellectual social scanning and analytics platform;and a big data science solution for transportation analytics with meteorological data.
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