Cover Image

InfoGNN: End-to-end deep learning on mesh via graph neural networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Ling, Shu, Zhenyu, Xin, Shiqing
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DFG-PCN: Point Cloud Completion with Degree-Flexible Point Graph
by: Shu, Zhenyu, et al.
Published: (2025)

Diff-3DCap: Shape Captioning with Diffusion Models
by: Shu, Zhenyu, et al.
Published: (2025)

StrucADT: Generating Structure-controlled 3D Point Clouds with Adjacency Diffusion Transformer
by: Shu, Zhenyu, et al.
Published: (2025)

GaussEdit: Adaptive 3D Scene Editing with Text and Image Prompts
by: Shu, Zhenyu, et al.
Published: (2025)

Enhancing convolutional neural network generalizability via low-rank weight approximation
by: Gao, Chenyin, et al.
Published: (2022)

Are classical deep neural networks weakly adversarially robust?
by: Sun, Nuolin, et al.
Published: (2025)

On margin-based generalization prediction in deep neural networks
by: Mouton, Coenraad
Published: (2024)

Attention based End to end network for Offline Writer Identification on Word level data
by: Kumar, Vineet, et al.
Published: (2024)

LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
by: Narayanan, Arjun, et al.
Published: (2023)

The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
by: Bastounis, Alexander, et al.
Published: (2021)

Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)

Optimal transport unlocks end-to-end learning for single-molecule localization
by: Seailles, Romain, et al.
Published: (2025)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction
by: Perera, Maneesha, et al.
Published: (2024)

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks
by: Altarabichi, Mohammed Ghaith, et al.
Published: (2024)

Real-time prediction of breast cancer sites using deformation-aware graph neural network
by: Lee, Kyunghyun, et al.
Published: (2025)

Bayesian sparsification for deep neural networks with Bayesian model reduction
by: Marković, Dimitrije, et al.
Published: (2023)

SSP-GNN: Learning to Track via Bilevel Optimization
by: Golias, Griffin, et al.
Published: (2024)

Learning Fourier shapes to probe the geometric world of deep neural networks
by: Wang, Jian, et al.
Published: (2025)

InfoNCE: Identifying the Gap Between Theory and Practice
by: Rusak, Evgenia, et al.
Published: (2024)

Aligned explanations in neural networks
by: Lobet, Corentin, et al.
Published: (2026)

Equivariant neural networks and equivarification
by: Bao, Erkao, et al.
Published: (2019)

Robust deep labeling of radiological emphysema subtypes using squeeze and excitation convolutional neural networks: The MESA Lung and SPIROMICS Studies
by: Wysoczanski, Artur, et al.
Published: (2024)

InfoClus: Informative Clustering of High-dimensional Data Embeddings
by: Lai, Fuyin, et al.
Published: (2025)

On the explainability of max-plus neural networks
by: Enaieh, Ikhlas, et al.
Published: (2026)

TransDiffuser: Diverse Trajectory Generation with Decorrelated Multi-modal Representation for End-to-end Autonomous Driving
by: Jiang, Xuefeng, et al.
Published: (2025)

DINO Pre-training for Vision-based End-to-end Autonomous Driving
by: Juneja, Shubham, et al.
Published: (2024)

Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)

An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping
by: Chavan, Rugved, et al.
Published: (2024)

End-to-end Stroke imaging analysis, using reservoir computing-based effective connectivity, and interpretable Artificial intelligence
by: Ciezobka, Wojciech, et al.
Published: (2024)

Automatic location detection based on deep learning
by: Karangiya, Anjali, et al.
Published: (2024)

Sign language recognition from skeletal data using graph and recurrent neural networks
by: Mederos, B., et al.
Published: (2025)

Characterization of topological structures in different neural network architectures
by: Świder, Paweł
Published: (2024)

$\texttt{InfoHier}$: Hierarchical Information Extraction via Encoding and Embedding
by: Zhang, Tianru, et al.
Published: (2025)

GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
by: Raju, S M Taslim Uddin, et al.
Published: (2025)

AI-driven Automation of End-to-end Assessment of Suturing Expertise
by: Deo, Atharva, et al.
Published: (2025)

Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization
by: Bassi, Pedro R. A. S., et al.
Published: (2022)

End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)

Double InfoGAN for Contrastive Analysis
by: Carton, Florence, et al.
Published: (2024)

Dimensions underlying the representational alignment of deep neural networks with humans
by: Mahner, Florian P., et al.
Published: (2024)

LMSeg: An end-to-end geometric message-passing network on barycentric dual graphs for large-scale landscape mesh segmentation
by: Huang, Zexian, et al.
Published: (2024)