Artificial Neural Networks and Machine Learning – ICANN 2024

33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part V

Häftad, Engelska, 2024

AvMichael Wand,Kristína Malinovská,Jürgen Schmidhuber,Igor V. Tetko,Kristina Malinovska,Jurgen Schmidhuber

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and fairness in machine learning.Part II - computer vision: classification; and computer vision: 3D methods. Part III - computer vision: anomaly detection; and topics in computer vision. Part IV - brain-inspired computing;

Produktinformation

Utgivningsdatum2024-09-17
Mått155 x 235 x 26 mm
Vikt709 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor436
FörlagSpringer International Publishing AG
ISBN9783031723438

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Tillämpad datateknik inom Data och it
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Informationsteknik: allmänt inom Data och it
Artificiell intelligens inom Data och it

.- 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.