Semantic Web - ISWC 2024
portes grátis
Semantic Web - ISWC 2024
23rd International Semantic Web Conference, Baltimore, MD, USA, November 11-15, 2024, Proceedings, Part I
Palmonari, Matteo; Cheng, Gong; Skaf-Molli, Hala; Ferranti, Nicolas; Hernandez, Daniel; Hogan, Aidan; Demartini, Gianluca; Hose, Katja; Acosta, Maribel
Springer International Publishing AG
12/2024
265
Mole
9783031778438
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
.- Research Track.
.- SnapE - Training Snapshot Ensembles of Link Prediction Models.
.- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets.
.- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web.
.- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs.
.- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery.
.- Repairing Networks of EL? Ontologies using Weakening and Completing.
.- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective.
.- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion.
.- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation.
.- Unaligned Federated Knowledge Graph Embedding.
.- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion.
.- BLINK: Blank Node Matching Using Embeddings.
.- Distilling Event Sequence Knowledge From Large Language Models.
.- SnapE - Training Snapshot Ensembles of Link Prediction Models.
.- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets.
.- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web.
.- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs.
.- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery.
.- Repairing Networks of EL? Ontologies using Weakening and Completing.
.- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective.
.- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion.
.- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation.
.- Unaligned Federated Knowledge Graph Embedding.
.- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion.
.- BLINK: Blank Node Matching Using Embeddings.
.- Distilling Event Sequence Knowledge From Large Language Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computer Science;Informatics;Conference Proceedings;Research;Applications;artificial intelligence;data handling;databases
.- Research Track.
.- SnapE - Training Snapshot Ensembles of Link Prediction Models.
.- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets.
.- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web.
.- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs.
.- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery.
.- Repairing Networks of EL? Ontologies using Weakening and Completing.
.- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective.
.- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion.
.- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation.
.- Unaligned Federated Knowledge Graph Embedding.
.- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion.
.- BLINK: Blank Node Matching Using Embeddings.
.- Distilling Event Sequence Knowledge From Large Language Models.
.- SnapE - Training Snapshot Ensembles of Link Prediction Models.
.- Numerical Literals in Link Prediction: A Critical Examination of Models and Datasets.
.- Relationships are Complicated! An Analysis of Relationships Between Datasets on the Web.
.- Multi-view Transformer-based Network for Prerequisite Learning in Concept Graphs.
.- Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery.
.- Repairing Networks of EL? Ontologies using Weakening and Completing.
.- Do LLMs Really Adapt to Domains? An Ontology Learning Perspective.
.- Supervised Relational Learning with Selective Neighbor Entities for Few-Shot Knowledge Graph Completion.
.- Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation.
.- Unaligned Federated Knowledge Graph Embedding.
.- Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion.
.- BLINK: Blank Node Matching Using Embeddings.
.- Distilling Event Sequence Knowledge From Large Language Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
