Copertina

GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gufran, Danish, Pasricha, Sudeep
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates
di: Gufran, Danish, et al.
Pubblicazione: (2025)

SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
di: Gufran, Danish, et al.
Pubblicazione: (2024)

DAILOC: Domain-Incremental Learning for Indoor Localization using Smartphones
di: Singampalli, Akhil, et al.
Pubblicazione: (2025)

ARMOR: Adaptive Resilience Against Model Poisoning Attacks in Continual Federated Learning for Mobile Indoor Localization
di: Gufran, Danish, et al.
Pubblicazione: (2026)

SAFELOC: Overcoming Data Poisoning Attacks in Heterogeneous Federated Machine Learning for Indoor Localization
di: Singampalli, Akhil, et al.
Pubblicazione: (2024)

AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems
di: Pasricha, Sudeep
Pubblicazione: (2024)

SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks
di: Gufran, Danish, et al.
Pubblicazione: (2024)

Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
di: Singampalli, Akhil, et al.
Pubblicazione: (2025)

CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning
di: Khan, Kamil, et al.
Pubblicazione: (2024)

UPAQ: A Framework for Real-Time and Energy-Efficient 3D Object Detection in Autonomous Vehicles
di: Balasubramaniam, Abhishek, et al.
Pubblicazione: (2025)

Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers
di: Hogade, Ninad, et al.
Pubblicazione: (2024)

Optical Computing for Deep Neural Network Acceleration: Foundations, Recent Developments, and Emerging Directions
di: Pasricha, Sudeep
Pubblicazione: (2024)

ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks
di: Zhao, Zhehan, et al.
Pubblicazione: (2024)

Graph Neural Networks Automated Design and Deployment on Device-Edge Co-Inference Systems
di: Zhou, Ao, et al.
Pubblicazione: (2024)

ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
di: Chen, Zhaoliang, et al.
Pubblicazione: (2024)

Permutation-Invariant Transformer Neural Architectures for Set-Based Indoor Localization Using Learned RSSI Embeddings
di: Aristorenas, Aris J.
Pubblicazione: (2025)

Edge Prompt Tuning for Graph Neural Networks
di: Fu, Xingbo, et al.
Pubblicazione: (2025)

TimeSense: Multi-Person Device-free Indoor Localization via RTT
di: Mohsen, Mohamed, et al.
Pubblicazione: (2024)

SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2024)

GREAT-EER: Graph Edge Attention Network for Emergency Evacuation Responses
di: Lischka, Attila, et al.
Pubblicazione: (2026)

Layer Embedding Deep Fusion Graph Neural Network
di: Xu, Taihua, et al.
Pubblicazione: (2026)

Robust Federated Learning on Edge Devices with Domain Heterogeneity
di: Le, Huy Q., et al.
Pubblicazione: (2025)

Recall: Empowering Multimodal Embedding for Edge Devices
di: Cai, Dongqi, et al.
Pubblicazione: (2024)

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
di: Wang, Yu, et al.
Pubblicazione: (2023)

Refined Edge Usage of Graph Neural Networks for Edge Prediction
di: Jin, Jiarui, et al.
Pubblicazione: (2022)

Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
di: Bessone, Nicolas
Pubblicazione: (2025)

Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
di: Heo, Jaeseung, et al.
Pubblicazione: (2025)

Graph Neural Network with One-side Edge Sampling for Fraud Detection
di: Trieu, Hoang Hiep
Pubblicazione: (2026)

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
di: Schwabe, Tim, et al.
Pubblicazione: (2023)

Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network
di: Piroti, Shirwan, et al.
Pubblicazione: (2024)

DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
di: Zhang, Zeyu, et al.
Pubblicazione: (2024)

Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
di: Malacarne, Sara, et al.
Pubblicazione: (2026)

Accelerating Neural Networks for Large Language Models and Graph Processing with Silicon Photonics
di: Afifi, Salma, et al.
Pubblicazione: (2024)

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
di: Fang, Taoran, et al.
Pubblicazione: (2025)

Hierarchical Attention-based Graph Neural Network with Relevance-driven Pruning
di: Kum, Seungwoo
Pubblicazione: (2026)

Attention-Enhanced Deep Learning for Device-Free Through-the-Wall Presence Detection Using Indoor WiFi Systems
di: Shen, Li-Hsiang, et al.
Pubblicazione: (2023)

Revolutionizing TCAD Simulations with Universal Device Encoding and Graph Attention Networks
di: Fan, Guangxi, et al.
Pubblicazione: (2023)

Exploring Spiking Neural Networks for Binary Classification in Multivariate Time Series at the Edge
di: Ghawaly, James, et al.
Pubblicazione: (2025)

Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
di: Choi, Yoonhyuk, et al.
Pubblicazione: (2024)

Massive Activations in Graph Neural Networks: Decoding Attention for Domain-Dependent Interpretability
di: Bini, Lorenzo, et al.
Pubblicazione: (2024)