Artificial Neural Networks and Machine Learning - ICANN 2024
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Artificial Neural Networks and Machine Learning - ICANN 2024
33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part V
Wand, Michael; Tetko, Igor V.; Malinovska, Kristina; Schmidhuber, Juergen
Springer International Publishing AG
10/2024
436
Mole
9783031723438
Pré-lançamento - envio 15 a 20 dias após a sua edição
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.- Graph Neural Networks.
.- 3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks.
.- Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-aware Contrastive Learning Network.
.- Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness.
.- CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis.
.- ComMGAE: Community Aware Masked Graph AutoEncoder.
.- CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph.
.- Edged Weisfeiler-Lehman algorithm.
.- Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features.
.- Graph-Guided Multi-View Text Classification: Advanced Solutions for Fast Inference.
.- Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network based Recommender Systems.
.- Key Substructure-Driven Backdoor Attacks on Graph Neural Networks.
.- Missing Data Imputation via Neighbor Data Feature-enriched Neural Ordinary Differential Equations.
.- Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.
.- STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting.
.- Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation.
.- Large Language Models.
.- A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Eduation Context.
.- An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.
.- Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models.
.- BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks.
.- CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models.
.- FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding.
.- Generative Chain-of-Thought for Zero-shot Cognitive Reasoning.
.- Generic Joke Generation with Moral Constraints.
.- Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation.
.- REM: A Ranking-based Automatic Evaluation Method for LLMs.
.- Semantics-Preserved Distortion for Personal Privacy Protection in Information Management.
.- Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models.
.- Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach.
.- 3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks.
.- Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-aware Contrastive Learning Network.
.- Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness.
.- CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis.
.- ComMGAE: Community Aware Masked Graph AutoEncoder.
.- CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph.
.- Edged Weisfeiler-Lehman algorithm.
.- Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features.
.- Graph-Guided Multi-View Text Classification: Advanced Solutions for Fast Inference.
.- Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network based Recommender Systems.
.- Key Substructure-Driven Backdoor Attacks on Graph Neural Networks.
.- Missing Data Imputation via Neighbor Data Feature-enriched Neural Ordinary Differential Equations.
.- Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.
.- STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting.
.- Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation.
.- Large Language Models.
.- A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Eduation Context.
.- An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.
.- Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models.
.- BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks.
.- CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models.
.- FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding.
.- Generative Chain-of-Thought for Zero-shot Cognitive Reasoning.
.- Generic Joke Generation with Moral Constraints.
.- Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation.
.- REM: A Ranking-based Automatic Evaluation Method for LLMs.
.- Semantics-Preserved Distortion for Personal Privacy Protection in Information Management.
.- Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models.
.- Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
artificial intelligence;classification;deep learning;generative models;graph neural networks;image processing;large language models;machine learning;neural networks;reinforcement learning;reservoir computing;robotics;spiking neural networks
.- Graph Neural Networks.
.- 3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks.
.- Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-aware Contrastive Learning Network.
.- Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness.
.- CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis.
.- ComMGAE: Community Aware Masked Graph AutoEncoder.
.- CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph.
.- Edged Weisfeiler-Lehman algorithm.
.- Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features.
.- Graph-Guided Multi-View Text Classification: Advanced Solutions for Fast Inference.
.- Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network based Recommender Systems.
.- Key Substructure-Driven Backdoor Attacks on Graph Neural Networks.
.- Missing Data Imputation via Neighbor Data Feature-enriched Neural Ordinary Differential Equations.
.- Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.
.- STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting.
.- Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation.
.- Large Language Models.
.- A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Eduation Context.
.- An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.
.- Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models.
.- BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks.
.- CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models.
.- FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding.
.- Generative Chain-of-Thought for Zero-shot Cognitive Reasoning.
.- Generic Joke Generation with Moral Constraints.
.- Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation.
.- REM: A Ranking-based Automatic Evaluation Method for LLMs.
.- Semantics-Preserved Distortion for Personal Privacy Protection in Information Management.
.- Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models.
.- Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach.
.- 3D Lattice Deformation Prediction with Hierarchical Graph Attention Networks.
.- Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-aware Contrastive Learning Network.
.- Boosting Attributed Graph Anomaly Detection via Negative Sample Awareness.
.- CauchyGCN: Preserving Local Smoothness in Graph Convolutional Networks via a Cauchy-Based Message-Passing Scheme and Clustering Analysis.
.- ComMGAE: Community Aware Masked Graph AutoEncoder.
.- CTQW-GraphSAGE: Trainabel Continuous-Time Quantum Walk On Graph.
.- Edged Weisfeiler-Lehman algorithm.
.- Enhancing Fraud Detection via GNNs with Synthetic Fraud Node Generation and Integrated Structural Features.
.- Graph-Guided Multi-View Text Classification: Advanced Solutions for Fast Inference.
.- Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network based Recommender Systems.
.- Key Substructure-Driven Backdoor Attacks on Graph Neural Networks.
.- Missing Data Imputation via Neighbor Data Feature-enriched Neural Ordinary Differential Equations.
.- Multi-graph Fusion and Virtual Node Enhanced Graph Neural Networks.
.- STGNA: Spatial-Temporal Graph Convolutional Networks with Node Level Attention for Shortwave Communications Parameters Forecasting.
.- Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation.
.- Large Language Models.
.- A Three-Phases-LORA Finetuned Hybrid LLM Integrated with Strong Prior Module in the Eduation Context.
.- An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.
.- Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models.
.- BiosERC: Integrating Biography Speakers Supported by LLMs for ERC Tasks.
.- CSAFT: Continuous Semantic Augmentation Fine-Tuning for Legal Large Language Models.
.- FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding.
.- Generative Chain-of-Thought for Zero-shot Cognitive Reasoning.
.- Generic Joke Generation with Moral Constraints.
.- Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation.
.- REM: A Ranking-based Automatic Evaluation Method for LLMs.
.- Semantics-Preserved Distortion for Personal Privacy Protection in Information Management.
.- Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models.
.- Unveiling Vulnerabilities in Large Vision-Language Models: The SAVJ Jailbreak Approach.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
