Copertina

Leveraging Compact Satellite Embeddings and Graph Neural Networks for Large-Scale Poverty Mapping

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pettersson, Markus B., Daoud, Adel
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
di: Pettersson, Markus B., et al.
Pubblicazione: (2025)

A High Resolution Urban and Rural Settlement Map of Africa Using Deep Learning and Satellite Imagery
di: Kakooei, Mohammad, et al.
Pubblicazione: (2024)

Optimizing Multi-Scale Representations to Detect Effect Heterogeneity Using Earth Observation and Computer Vision: Applications to Two Anti-Poverty RCTs
di: Zhu, Fucheng Warren, et al.
Pubblicazione: (2024)

Analyzing Poverty through Intra-Annual Time-Series: A Wavelet Transform Approach
di: Kakooei, Mohammad, et al.
Pubblicazione: (2024)

Beyond Interaction Effects: Two Logics for Studying Population Inequalities
di: Daoud, Adel
Pubblicazione: (2025)

A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty
di: Sakamoto, Kazuki, et al.
Pubblicazione: (2024)

Introduction to Graph Neural Networks for Machine Learning Engineers
di: Tanis, James H., et al.
Pubblicazione: (2024)

Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
di: Braun, Marc, et al.
Pubblicazione: (2025)

The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
di: Blöcker, Christopher, et al.
Pubblicazione: (2023)

Leveraging Classical Algorithms for Graph Neural Networks
di: Wu, Jason, et al.
Pubblicazione: (2025)

GiGL: Large-Scale Graph Neural Networks at Snapchat
di: Zhao, Tong, et al.
Pubblicazione: (2025)

The Compact Support Neural Network
di: Barbu, Adrian, et al.
Pubblicazione: (2021)

Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis
di: Daoud, Adel, et al.
Pubblicazione: (2025)

$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
di: Balgi, Sourabh, et al.
Pubblicazione: (2022)

Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
di: Balgi, Sourabh, et al.
Pubblicazione: (2025)

STRIDE: Structure and Embedding Distillation with Attention for Graph Neural Networks
di: Ahluwalia, Anshul, et al.
Pubblicazione: (2023)

Leveraging Graph Neural Networks to Forecast Electricity Consumption
di: Campagne, Eloi, et al.
Pubblicazione: (2024)

Leveraging Spatiotemporal Graph Neural Networks for Multi-Store Sales Forecasting
di: Singh, Manish, et al.
Pubblicazione: (2025)

Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
di: Ding, Haipeng, et al.
Pubblicazione: (2025)

A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network
di: Rico, Julian Carvajal, et al.
Pubblicazione: (2024)

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

Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
di: Chen, Shiyu, et al.
Pubblicazione: (2025)

Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
di: Zhang, Huiwen, et al.
Pubblicazione: (2026)

Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty?
di: Murugaboopathy, Satiyabooshan, et al.
Pubblicazione: (2025)

DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations
di: Wang, Jinlu, et al.
Pubblicazione: (2024)

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

Analyzing the Effect of Embedding Norms and Singular Values to Oversmoothing in Graph Neural Networks
di: Kelesis, Dimitrios, et al.
Pubblicazione: (2025)

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism
di: Polisetty, Sandeep, et al.
Pubblicazione: (2023)

Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs
di: Sun, Shengyin, et al.
Pubblicazione: (2025)

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults
di: Jeon, Dong Hyun, et al.
Pubblicazione: (2025)

WaveGAS: Waveform Relaxation for Scaling Graph Neural Networks
di: Vatter, Jana, et al.
Pubblicazione: (2025)

GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
di: Zhuang, Dingyi, et al.
Pubblicazione: (2024)

Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction
di: Dablander, Markus
Pubblicazione: (2024)

CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
di: Zhang, Hailin, et al.
Pubblicazione: (2023)

Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
di: Javaid, Shumaila, et al.
Pubblicazione: (2024)

EmbedPart: Embedding-Driven Graph Partitioning for Scalable Graph Neural Network Training
di: Merkel, Nikolai, et al.
Pubblicazione: (2026)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
di: Sawczyn, Albert, et al.
Pubblicazione: (2024)

Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference
di: Nishino, Shuichi, et al.
Pubblicazione: (2025)

From Text to Graph: Leveraging Graph Neural Networks for Enhanced Explainability in NLP
di: Yáñez-Romero, Fabio, et al.
Pubblicazione: (2025)

Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks
di: Xia, Kaiwen, et al.
Pubblicazione: (2024)