B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
Fuente:
arXiv
Saved in:
| Main Authors: | Proszewska, Magdalena, Danel, Tomasz, Rymarczyk, Dawid |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
by: Wasi, Azmine Toushik, et al.
Published: (2024)
by: Wasi, Azmine Toushik, et al.
Published: (2024)
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024)
by: Garnier, Paul, et al.
Published: (2024)
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026)
by: Koistinen, Kosti, et al.
Published: (2026)
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025)
by: Hoffmann, Marco, et al.
Published: (2025)
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
by: Jiang, Zhuodong, et al.
Published: (2025)
by: Jiang, Zhuodong, et al.
Published: (2025)
Temperature Distribution Prediction in Laser Powder Bed Fusion using Transferable and Scalable Graph Neural Networks
by: Raut, Riddhiman, et al.
Published: (2024)
by: Raut, Riddhiman, et al.
Published: (2024)
Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks
by: Chen, Muhao, et al.
Published: (2024)
by: Chen, Muhao, et al.
Published: (2024)
Predicting Transonic Flowfields in Non-Homogeneous Unstructured Grids Using Autoencoder Graph Convolutional Networks
by: Immordino, Gabriele, et al.
Published: (2024)
by: Immordino, Gabriele, et al.
Published: (2024)
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
by: Schmeitz, Ruben, et al.
Published: (2024)
by: Schmeitz, Ruben, et al.
Published: (2024)
Aggregation of Published Non-Uniform Axial Power Data for Phase II of the OECD/NEA AI/ML Critical Heat Flux Benchmark
by: Bourisaw, Reece, et al.
Published: (2025)
by: Bourisaw, Reece, et al.
Published: (2025)
Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
by: Teutscher, Dennis, et al.
Published: (2025)
by: Teutscher, Dennis, et al.
Published: (2025)
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)
Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
by: Sarker, Apurba
Published: (2024)
by: Sarker, Apurba
Published: (2024)
LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data
by: Nagy, Peer, et al.
Published: (2025)
by: Nagy, Peer, et al.
Published: (2025)
A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
by: Van, Minh-Hao, et al.
Published: (2025)
by: Van, Minh-Hao, et al.
Published: (2025)
Precision Glass Thermoforming Assisted by Neural Networks
by: Zhang, Yuzhou, et al.
Published: (2024)
by: Zhang, Yuzhou, et al.
Published: (2024)
Physics-Informed Neural Networks for Shell Structures
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
by: Bastek, Jan-Hendrik, et al.
Published: (2022)
Differentiable Multiphysics Co-Optimization via Implicit Neural Representations: A Transient Hamburger-Cooking Benchmark
by: Zobeiry, Navid
Published: (2026)
by: Zobeiry, Navid
Published: (2026)
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)
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
by: Sharma, Vinay, et al.
Published: (2025)
by: Sharma, Vinay, et al.
Published: (2025)
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
by: Zhang, Shengming, et al.
Published: (2025)
by: Zhang, Shengming, et al.
Published: (2025)
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
by: Sharma, Vinay, et al.
Published: (2025)
by: Sharma, Vinay, et al.
Published: (2025)
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks
by: Zhao, Zhiyuan, et al.
Published: (2023)
by: Zhao, Zhiyuan, et al.
Published: (2023)
Multi-Fidelity Bayesian Neural Network for Uncertainty Quantification in Transonic Aerodynamic Loads
by: Vaiuso, Andrea, et al.
Published: (2024)
by: Vaiuso, Andrea, et al.
Published: (2024)
Graph Network-based Structural Simulator: Graph Neural Networks for Structural Dynamics
by: Lucchetti, Alessandro, et al.
Published: (2025)
by: Lucchetti, Alessandro, et al.
Published: (2025)
Application of Tensor Neural Networks to Pricing Bermudan Swaptions
by: Patel, Raj G., et al.
Published: (2023)
by: Patel, Raj G., et al.
Published: (2023)
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)
FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics
by: Li, Pingzhi, et al.
Published: (2026)
by: Li, Pingzhi, et al.
Published: (2026)
Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets
by: Kim, Seungyeon, et al.
Published: (2024)
by: Kim, Seungyeon, et al.
Published: (2024)
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction
by: Zhang, Zeyang, et al.
Published: (2023)
by: Zhang, Zeyang, et al.
Published: (2023)
Data-Driven Temperature Modelling of Machine Tools by Neural Networks: A Benchmark
by: Coelho, C., et al.
Published: (2025)
by: Coelho, C., et al.
Published: (2025)
Hidformer: Transformer-Style Neural Network in Stock Price Forecasting
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
by: Szydłowski, Kamil Ł., et al.
Published: (2024)
Automated Flow Pattern Classification in Multi-phase Systems Using AI and Capacitance Sensing Techniques
by: Ran, Nian, et al.
Published: (2025)
by: Ran, Nian, 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)
Computational Fluid Dynamics Optimization of F1 Front Wing using Physics Informed Neural Networks
by: Shah, Naval
Published: (2025)
by: Shah, Naval
Published: (2025)
Physics-Inspired Spatial Temporal Graph Neural Networks for Predicting Industrial Chain Resilience
by: Wang, Bicheng, et al.
Published: (2025)
by: Wang, Bicheng, et al.
Published: (2025)
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems
by: Arsene, Corneliu, et al.
Published: (2023)
by: Arsene, Corneliu, et al.
Published: (2023)
Crash Assessment via Mesh-Based Graph Neural Networks and Physics-Aware Attention
by: Curtosi, Gabriel, et al.
Published: (2026)
by: Curtosi, Gabriel, et al.
Published: (2026)
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Unified Network-Based Representation of BIM Models for Embedding Semantic, Spatial, and Topological Data
by: Han, Jin, et al.
Published: (2025)
by: Han, Jin, et al.
Published: (2025)
Similar Items
-
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks
by: Wasi, Azmine Toushik, et al.
Published: (2024) -
Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
by: Garnier, Paul, et al.
Published: (2024) -
Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
by: Koistinen, Kosti, et al.
Published: (2026) -
GRAPPA -- A Hybrid Graph Neural Network for Predicting Pure Component Vapor Pressures
by: Hoffmann, Marco, et al.
Published: (2025) -
EP-GAT: Energy-based Parallel Graph Attention Neural Network for Stock Trend Classification
by: Jiang, Zhuodong, et al.
Published: (2025)