Cover Image

GRIT-LP: Graph Transformer with Long-Range Skip Connection and Partitioned Spatial Graphs for Accurate Ice Layer Thickness Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zesheng, Rahnemoonfar, Maryam
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ST-GRIT: Spatio-Temporal Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2024)

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction
by: Liu, Zesheng, et al.
Published: (2025)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
by: Liu, Zesheng, et al.
Published: (2024)

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

Physics-Conditioned Synthesis of Internal Ice-Layer Thickness for Incomplete Layer Traces
by: Liu, Zesheng, et al.
Published: (2026)

Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
by: Koo, Younghyun, et al.
Published: (2023)

OPTNet: Ordering Point Transformer Network for Post-disaster 3D Semantic Segmentation
by: Le, Nhut, et al.
Published: (2026)

Geometric Flood Depth Estimation: Fusing Transformer-Based Segmentation with Digital Elevation Models
by: Le, Nhut, et al.
Published: (2026)

DA-SegFormer: Damage-Aware Semantic Segmentation for Fine-Grained Disaster Assessment
by: Zhu, Kevin, et al.
Published: (2026)

3D Semantic Segmentation for Post-Disaster Assessment
by: Le, Nhut, et al.
Published: (2025)

SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection
by: Ataiefard, Foozhan, et al.
Published: (2024)

Instruct-ICL: Instruction-Guided In-Context Learning for Post-Disaster Damage Assessment
by: Zarbaft, Armin, et al.
Published: (2026)

Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)

KAN-GCN: Combining Kolmogorov-Arnold Network with Graph Convolution Network for an Accurate Ice Sheet Emulator
by: Liu, Zesheng, et al.
Published: (2025)

Knowledge-aware Graph Transformer for Pedestrian Trajectory Prediction
by: Liu, Yu, et al.
Published: (2024)

Always Skip Attention
by: Ji, Yiping, et al.
Published: (2025)

EGTR: Extracting Graph from Transformer for Scene Graph Generation
by: Im, Jinbae, et al.
Published: (2024)

TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices
by: Rashid, Hasib-Al, et al.
Published: (2024)

GraphTARIF: Linear Graph Transformer with Augmented Rank and Improved Focus
by: Hu, Zhaolin, et al.
Published: (2025)

Rethinking Image Skip Connections in StyleGAN2
by: Park, Seung, et al.
Published: (2024)

Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)

Skipping Computations in Multimodal LLMs
by: Shukor, Mustafa, et al.
Published: (2024)

HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning
by: Roudbari, Naghmeh Shafiee, et al.
Published: (2024)

Spectral and Spatial Graph Learning for Multispectral Solar Image Compression
by: Siwakoti, Prasiddha, et al.
Published: (2025)

PACT: Peak-Aware Cross-Attention Graph Transformers for Efficient Storm-Surge Emulation
by: Liu, Zesheng, et al.
Published: (2026)

SkipSR: Faster Super Resolution with Token Skipping
by: Choudhury, Rohan, et al.
Published: (2025)

Skip-WaveNet: A Wavelet based Multi-scale Architecture to Trace Snow Layers in Radar Echograms
by: Varshney, Debvrat, et al.
Published: (2023)

Graph Residual Noise Learner Network for Brain Connectivity Graph Prediction
by: Demirbilek, Oytun, et al.
Published: (2024)

ZeShot-VQA: Zero-Shot Visual Question Answering Framework with Answer Mapping for Natural Disaster Damage Assessment
by: Karimi, Ehsan, et al.
Published: (2025)

Multi-Scale Transformer Architecture for Accurate Medical Image Classification
by: Hu, Jiacheng, et al.
Published: (2025)

Pretrained Diffusion Models Are Inherently Skipped-Step Samplers
by: Xu, Wenju
Published: (2025)

XnODR and XnIDR: Two Accurate and Fast Fully Connected Layers For Convolutional Neural Networks
by: Sun, Jian, et al.
Published: (2021)

Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections
by: Zhou, Youwei, et al.
Published: (2024)

Exp-Graph: How Connections Learn Facial Attributes in Graph-based Expression Recognition
by: Sharma, Nandani, et al.
Published: (2025)

Hyper-STTN: Hypergraph Augmented Spatial-Temporal Transformer Network for Trajectory Prediction
by: Wang, Weizheng, et al.
Published: (2024)

HEXST: Hexagonal Shifted-Window Transformer for Spatial Transcriptomics Gene Expression Prediction
by: Byeon, Keunho, et al.
Published: (2026)

Cross-View Graph Consistency Learning for Invariant Graph Representations
by: Chen, Jie, et al.
Published: (2023)

GraphVLM: Benchmarking Vision Language Models for Multimodal Graph Learning
by: Liu, Jiajin, et al.
Published: (2026)

Skrr: Skip and Re-use Text Encoder Layers for Memory Efficient Text-to-Image Generation
by: Seo, Hoigi, et al.
Published: (2025)