Cover Image

GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fiori, Michele, Mor, Davide, Civitarese, Gabriele, Bettini, Claudio
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Using Large Language Models to Compare Explainable Models for Smart Home Human Activity Recognition
by: Fiori, Michele, et al.
Published: (2024)

ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
by: Arrotta, Luca, et al.
Published: (2024)

DomusFM: A Foundation Model for Smart-Home Sensor Data
by: Fiori, Michele, et al.
Published: (2026)

Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation
by: Fiori, Michele, et al.
Published: (2025)

Large Language Models are Zero-Shot Recognizers for Activities of Daily Living
by: Civitarese, Gabriele, et al.
Published: (2024)

Personalized Semi-Supervised Federated Learning for Human Activity Recognition
by: Presotto, Riccardo, et al.
Published: (2021)

The SERENADE project: Sensor-Based Explainable Detection of Cognitive Decline
by: Civitarese, Gabriele, et al.
Published: (2025)

X-BCD: Explainable Sensor-Based Behavioral Change Detection in Smart Home Environments
by: Civitarese, Gabriele, et al.
Published: (2026)

Personal Data Protection in Smart Home Activity Monitoring for Digital Health: A Case Study
by: Bettini, Claudio, et al.
Published: (2025)

LiGNN: Graph Neural Networks at LinkedIn
by: Borisyuk, Fedor, et al.
Published: (2024)

A Differential Geometric View and Explainability of GNN on Evolving Graphs
by: Liu, Yazheng, et al.
Published: (2024)

Improving Zero-shot ADL Recognition with Large Language Models through Event-based Context and Confidence
by: Fiori, Michele, et al.
Published: (2026)

ComFairGNN: Community Fair Graph Neural Network
by: Sium, Yonas, et al.
Published: (2024)

LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
by: Cheng, Xu, et al.
Published: (2025)

Thou Shalt Not Prompt: Zero-Shot Human Activity Recognition in Smart Homes via Language Modeling of Sensor Data & Activities
by: Dhekane, Sourish Gunesh, et al.
Published: (2025)

FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
by: Sverdlov, Yonatan, et al.
Published: (2024)

GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
by: Schneckenreiter, Lisa, et al.
Published: (2024)

Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
by: Lukyanov, Kirill, et al.
Published: (2025)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)

LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)

Evaluating Neighbor Explainability for Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2023)

Explainable Graph Neural Networks Under Fire
by: Li, Zhong, et al.
Published: (2024)

DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
by: Acosta, Carlo Malapad, et al.
Published: (2025)

DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
by: Zhao, Gongpei, et al.
Published: (2024)

mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
by: Mishra, Subhankar
Published: (2026)

E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
by: Zhang, Xin, et al.
Published: (2024)

SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)

SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
by: Zhu, Yushan, et al.
Published: (2024)

RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)

Parallelizing Node-Level Explainability in Graph Neural Networks
by: Llorente, Oscar, et al.
Published: (2026)

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
by: Niam, Arefin, et al.
Published: (2025)

FreeGNN: Continual Source-Free Graph Neural Network Adaptation for Renewable Energy Forecasting
by: Bahi, Abderaouf, et al.
Published: (2026)

SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024)

Explainable Human Activity Recognition: A Unified Review of Concepts and Mechanisms
by: Kundu, Mainak, et al.
Published: (2026)

HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
by: Zhao, Xiaohui, et al.
Published: (2026)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
by: Amara, Kenza, et al.
Published: (2022)

Explainable Global Wildfire Prediction Models using Graph Neural Networks
by: Chen, Dayou, et al.
Published: (2024)

SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)

RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine
by: Hays, Hasi, et al.
Published: (2026)

BikeVAE-GNN: A Variational Autoencoder-Augmented Hybrid Graph Neural Network for Sparse Bicycle Volume Estimation
by: Gupta, Mohit, et al.
Published: (2025)