Imagen de Portada

An end-to-end attention-based approach for learning on graphs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Buterez, David, Janet, Jon Paul, Oglic, Dino, Lio, Pietro
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
por: Purves, Carlos, et al.
Publicado: (2026)

How Smoothing is N-simplicial Attention?
por: Dussolle, Alexandre, et al.
Publicado: (2025)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
por: Sun, Zhongtian, et al.
Publicado: (2025)

Superposition in Graph Neural Networks
por: Pertl, Lukas, et al.
Publicado: (2025)

Algebraic Priors for Approximately Equivariant Networks
por: Ali, Riccardo, et al.
Publicado: (2025)

Hierarchical end-to-end autonomous navigation through few-shot waypoint detection
por: Ghafourian, Amin, et al.
Publicado: (2024)

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
por: Logothetis, Stelios Boulitsakis, et al.
Publicado: (2026)

Efficient and Generalized end-to-end Autonomous Driving System with Latent Deep Reinforcement Learning and Demonstrations
por: Tang, Zuojin, et al.
Publicado: (2024)

Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
por: Cornelio, Cristina, et al.
Publicado: (2025)

Efficient and provably convergent end-to-end training of deep neural networks with linear constraints
por: Yang, Zonglin, et al.
Publicado: (2026)

Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
por: Longa, Antonio, et al.
Publicado: (2023)

GenRec: Generative Sequential Recommendation with Large Language Models
por: Cao, Panfeng, et al.
Publicado: (2024)

KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
por: Zuo, Kaiwen, et al.
Publicado: (2024)

MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
por: Wang, Zhiyu, et al.
Publicado: (2025)

End-to-end PDDL Planning with Hardcoded and Dynamic Agents
por: La Malfa, Emanuele, et al.
Publicado: (2025)

FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models
por: Zhu, Max, et al.
Publicado: (2024)

Symmetry and Generalisation in Neural Approximations of Renormalisation Transformations
por: Ashworth, Cassidy, et al.
Publicado: (2025)

Polynomial Neural Sheaf Diffusion: A Spectral Filtering Approach on Cellular Sheaves
por: Borgi, Alessio, et al.
Publicado: (2025)

Towards an end-to-end artificial intelligence driven global weather forecasting system
por: Chen, Kun, et al.
Publicado: (2023)

Supervised learning pays attention
por: Craig, Erin, et al.
Publicado: (2025)

From Imitation to Exploration: End-to-end Autonomous Driving based on World Model
por: Li, Yueyuan, et al.
Publicado: (2024)

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
por: El, Batu, et al.
Publicado: (2025)

Cooperative Open-ended Learning Framework for Zero-shot Coordination
por: Li, Yang, et al.
Publicado: (2023)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
por: Faiz, Ahmad, et al.
Publicado: (2023)

Will More Expressive Graph Neural Networks do Better on Generative Tasks?
por: Zou, Xiandong, et al.
Publicado: (2023)

Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
por: Forouzandeh, Saman, et al.
Publicado: (2025)

Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
por: Jiang, Xuefeng, et al.
Publicado: (2024)

Mixed-Sample SGD: an End-to-end Analysis of Supervised Transfer Learning
por: Deng, Yuyang, et al.
Publicado: (2025)

A Novel end-to-end Digital Health System Using Deep Learning-based ECG Analysis
por: Kontou, Artemis, et al.
Publicado: (2026)

An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
por: Shyr, Cathy, et al.
Publicado: (2026)

xAI-Drop: Don't Use What You Cannot Explain
por: De Luca, Vincenzo Marco, et al.
Publicado: (2024)

TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
por: Margeloiu, Andrei, et al.
Publicado: (2024)

Kernel KMeans clustering splits for end-to-end unsupervised decision trees
por: Ohl, Louis, et al.
Publicado: (2024)

MenTeR: A fully-automated Multi-agenT workflow for end-to-end RF/Analog Circuits Netlist Design
por: Chen, Pin-Han, et al.
Publicado: (2025)

Sheaves Reloaded: A Directional Awakening
por: Fiorini, Stefano, et al.
Publicado: (2025)

Metric Learning for Clifford Group Equivariant Neural Networks
por: Ali, Riccardo, et al.
Publicado: (2024)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
por: Sun, Zhongtian, et al.
Publicado: (2025)

How Particle System Theory Enhances Hypergraph Message Passing
por: Ma, Yixuan, et al.
Publicado: (2025)

Fine-grained graph representation learning for heterogeneous mobile networks with attentive fusion and contrastive learning
por: Liu, Shengheng, et al.
Publicado: (2024)

Scaling LLM Multi-turn RL with End-to-end Summarization-based Context Management
por: Lu, Miao, et al.
Publicado: (2025)