Saved in:
| Main Authors: | Han, Jin, Lu, Xin-Zheng, Lin, Jia-Rui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.22670 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models
by: Han, Jin, et al.
Published: (2025)
by: Han, Jin, et al.
Published: (2025)
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
by: Zheng, Kangjie, et al.
Published: (2024)
by: Zheng, Kangjie, et al.
Published: (2024)
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)
by: Cheng, Qishuo, et al.
Published: (2024)
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
by: Nobari, Amin Heyrani, et al.
Published: (2025)
by: Nobari, Amin Heyrani, et al.
Published: (2025)
Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
by: Amin, Fin, et al.
Published: (2024)
by: Amin, Fin, et al.
Published: (2024)
Semantic-Enhanced Time-Series Forecasting via Large Language Models
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
Unified Occupancy on a Public Transport Network through Combination of AFC and APC Data
by: Dib, Amir, et al.
Published: (2024)
by: Dib, Amir, et al.
Published: (2024)
Generative modeling of granular flow on inclined planes using conditional flow matching
by: Li, Xuyang, et al.
Published: (2026)
by: Li, Xuyang, et al.
Published: (2026)
Bridging Equilibrium and Kinetics Prediction with a Data-Weighted Neural Network Model of Methane Steam Reforming
by: Pizoń, Zofia, et al.
Published: (2025)
by: Pizoń, Zofia, et al.
Published: (2025)
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method
by: Baek, Jonghyuk, et al.
Published: (2023)
by: Baek, Jonghyuk, et al.
Published: (2023)
Comparative Evaluation of Embedding Representations for Financial News Sentiment Analysis
by: Roy, Joyjit, et al.
Published: (2025)
by: Roy, Joyjit, et al.
Published: (2025)
Bi-Level Chaotic Fusion Based Graph Convolutional Network for Stock Market Prediction Interval
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
by: Kandimalla, Eshwar Sai, et al.
Published: (2026)
Separable Operator Networks
by: Yu, Xinling, et al.
Published: (2024)
by: Yu, Xinling, et al.
Published: (2024)
ResNLS: An Improved Model for Stock Price Forecasting
by: Jia, Yuanzhe, et al.
Published: (2023)
by: Jia, Yuanzhe, et al.
Published: (2023)
Detecting Multilevel Manipulation from Limit Order Book via Cascaded Contrastive Representation Learning
by: Lin, Yushi, et al.
Published: (2025)
by: Lin, Yushi, et al.
Published: (2025)
GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
by: Zheng, Jiahui, et al.
Published: (2025)
by: Zheng, Jiahui, et al.
Published: (2025)
When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks
by: Drinkall, Felix, et al.
Published: (2025)
by: Drinkall, Felix, et al.
Published: (2025)
Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
by: Zhang, Xinbo, et al.
Published: (2025)
by: Zhang, Xinbo, et al.
Published: (2025)
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
by: Nobari, Amin Heyrani, et al.
Published: (2024)
by: Nobari, Amin Heyrani, et al.
Published: (2024)
HELM: Hierarchical Encoding for mRNA Language Modeling
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2024)
by: Yazdani-Jahromi, Mehdi, et al.
Published: (2024)
B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
by: Proszewska, Magdalena, et al.
Published: (2025)
by: Proszewska, Magdalena, et al.
Published: (2025)
Constraining Generative Models for Engineering Design with Negative Data
by: Regenwetter, Lyle, et al.
Published: (2023)
by: Regenwetter, Lyle, et al.
Published: (2023)
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
by: Li, Pingzhi, et al.
Published: (2026)
by: Li, Pingzhi, et al.
Published: (2026)
SparseST: Exploiting Data Sparsity in Spatiotemporal Modeling and Prediction
by: Wu, Junfeng, et al.
Published: (2025)
by: Wu, Junfeng, et al.
Published: (2025)
A Survey of Generative Techniques for Spatial-Temporal Data Mining
by: Zhang, Qianru, et al.
Published: (2024)
by: Zhang, Qianru, et al.
Published: (2024)
Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)
by: Cao, Bokai, et al.
Published: (2025)
Deep Reinforcement Learning for Modelling Protein Complexes
by: Gao, Ziqi, et al.
Published: (2024)
by: Gao, Ziqi, et al.
Published: (2024)
Implicit Neural Representation For Accurate CFD Flow Field Prediction
by: de Vito, Laurent, et al.
Published: (2024)
by: de Vito, Laurent, et al.
Published: (2024)
Leveraging Multi-modal Representations to Predict Protein Melting Temperatures
by: Zhang, Daiheng, et al.
Published: (2024)
by: Zhang, Daiheng, et al.
Published: (2024)
Latent Generative Modeling of Random Fields from Limited Training Data
by: Warner, James E., et al.
Published: (2025)
by: Warner, James E., et al.
Published: (2025)
Deep Neural Network-Based Prediction of B-Cell Epitopes for SARS-CoV and SARS-CoV-2: Enhancing Vaccine Design through Machine Learning
by: Shi, Xinyu, et al.
Published: (2024)
by: Shi, Xinyu, et al.
Published: (2024)
UncertainGen: Uncertainty-Aware Representations of DNA Sequences for Metagenomic Binning
by: Celikkanat, Abdulkadir, et al.
Published: (2025)
by: Celikkanat, Abdulkadir, et al.
Published: (2025)
Heterogeneous Graph Representation of Stiffened Panels with Non-Uniform Boundary Conditions and Loads
by: Cai, Yuecheng, et al.
Published: (2025)
by: Cai, Yuecheng, et al.
Published: (2025)
A Framework for Strategic Discovery of Credible Neural Network Surrogate Models under Uncertainty
by: Singh, Pratyush Kumar, et al.
Published: (2024)
by: Singh, Pratyush Kumar, et al.
Published: (2024)
An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
by: Sun, Shengke, et al.
Published: (2025)
by: Sun, Shengke, et al.
Published: (2025)
Discrete Elastic Ribbons: A Unified Discrete Differential Geometry Framework for One-Dimensional Energy Models
by: Panda, Shivam Kumar, et al.
Published: (2026)
by: Panda, Shivam Kumar, et al.
Published: (2026)
PIVONet: A Physically-Informed Variational Neuro ODE Model for Efficient Advection-Diffusion Fluid Simulation
by: Cheung, Hei Shing, et al.
Published: (2026)
by: Cheung, Hei Shing, et al.
Published: (2026)
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation
by: Pourkamali-Anaraki, Farhad, et al.
Published: (2024)
by: Pourkamali-Anaraki, Farhad, et al.
Published: (2024)
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing
by: Deo, Indu Kant, et al.
Published: (2024)
by: Deo, Indu Kant, et al.
Published: (2024)
Similar Items
-
BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models
by: Han, Jin, et al.
Published: (2025) -
ESM All-Atom: Multi-scale Protein Language Model for Unified Molecular Modeling
by: Zheng, Kangjie, et al.
Published: (2024) -
Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024) -
Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
by: Nobari, Amin Heyrani, et al.
Published: (2025) -
Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
by: Amin, Fin, et al.
Published: (2024)