Image de couverture de livre

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Zesheng, Rahnemoonfar, Maryam
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
par: Liu, Zesheng, et autres
Publié: (2025)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
par: Liu, Zesheng, et autres
Publié: (2024)

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data
par: Liu, Zesheng, et autres
Publié: (2026)

GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction
par: Liu, Zesheng, et autres
Publié: (2025)

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction
par: Liu, Zesheng, et autres
Publié: (2025)

Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
par: Koo, Younghyun, et autres
Publié: (2023)

Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces
par: Liu, Zesheng, et autres
Publié: (2026)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
par: Zhu, Kevin, et autres
Publié: (2026)

3D Semantic Segmentation for Post-Disaster Assessment
par: Le, Nhut, et autres
Publié: (2025)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
par: Le, Nhut, et autres
Publié: (2026)

Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models
par: Le, Nhut, et autres
Publié: (2026)

Seasonal Fire Prediction using Spatio-Temporal Deep Neural Networks
par: Michail, Dimitrios, et autres
Publié: (2024)

Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
par: Zarbaft, Armin, et autres
Publié: (2026)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
par: Rashid, Hasib-Al, et autres
Publié: (2024)

Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment
par: Karimi, Ehsan, et autres
Publié: (2025)

BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
par: Ehsani, Sina, et autres
Publié: (2025)

Spatio-Temporal Multi-Subgraph GCN for 3D Human Motion Prediction
par: Wang, Jiexin, et autres
Publié: (2024)

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
par: Li, Jiachen, et autres
Publié: (2021)

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
par: Pham, Quang P. M., et autres
Publié: (2024)

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines
par: Wang, ZiDong, et autres
Publié: (2024)

Spatio-Temporal Branching for Motion Prediction using Motion Increments
par: Wang, Jiexin, et autres
Publié: (2023)

Resolving Spatio-Temporal Entanglement in Video Prediction via Multi-Modal Attention
par: Gupta, Shreyam, et autres
Publié: (2025)

CINeMA: Conditional Implicit Neural Multi-Modal Atlas for a Spatio-Temporal Representation of the Perinatal Brain
par: Dannecker, Maik, et autres
Publié: (2025)

CINA: Conditional Implicit Neural Atlas for Spatio-Temporal Representation of Fetal Brains
par: Dannecker, Maik, et autres
Publié: (2024)

Air Quality Prediction with A Meteorology-Guided Modality-Decoupled Spatio-Temporal Network
par: Yin, Hang, et autres
Publié: (2025)

From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
par: Sarabia, Rafael Pablos, et autres
Publié: (2026)

STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
par: Qiu, Haiyi, et autres
Publié: (2024)

Social-IWSTCNN: A Social Interaction-Weighted Spatio-Temporal Convolutional Neural Network for Pedestrian Trajectory Prediction in Urban Traffic Scenarios
par: Zhang, Chi, et autres
Publié: (2021)

Towards Gradient-based Time-Series Explanations through a SpatioTemporal Attention Network
par: Lee, Min Hun
Publié: (2024)

KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
par: Liu, Zesheng, et autres
Publié: (2025)

Spatio-Temporal Transformers for Long-Term NDVI Forecasting
par: Faran, Ido, et autres
Publié: (2026)

Spatio-Temporal LLM: Reasoning about Environments and Actions
par: Zheng, Haozhen, et autres
Publié: (2025)

Analytic Convolutional Layer: A Step to Analytic Neural Network
par: Cui, Jingmao, et autres
Publié: (2024)

Unified Spatio-Temporal Token Scoring for Efficient Video VLMs
par: Zhang, Jianrui, et autres
Publié: (2026)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
par: Yaqub, Muhammad, et autres
Publié: (2024)

LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
par: Kim, Jinuk, et autres
Publié: (2024)

Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
par: Hong, Di, et autres
Publié: (2025)

KCNet: An Insect-Inspired Single-Hidden-Layer Neural Network with Randomized Binary Weights for Prediction and Classification Tasks
par: Hong, Jinyung, et autres
Publié: (2021)

ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
par: Karimi, Ehsan, et autres
Publié: (2025)

STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor Scenes
par: Yang, Jiawei, et autres
Publié: (2024)