Inducing Causal Structure for Interpretable Neural Networks Applied to Glucose Prediction for T1DM Patients
Fuente:
arXiv
Saved in:
| Main Authors: | Esponera, Ana, Cinà, Giovanni |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
by: Guo, Jinjiang, et al.
Published: (2022)
by: Guo, Jinjiang, et al.
Published: (2022)
Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
by: Selitskiy, Stanislav
Published: (2025)
by: Selitskiy, Stanislav
Published: (2025)
Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
by: Parsan, Nithin, et al.
Published: (2025)
by: Parsan, Nithin, et al.
Published: (2025)
Interpretable Enzyme Function Prediction via Residue-Level Detection
by: Yang, Zhao, et al.
Published: (2025)
by: Yang, Zhao, et al.
Published: (2025)
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
by: Zhang, Yang, et al.
Published: (2023)
by: Zhang, Yang, et al.
Published: (2023)
Investigating Graph Neural Networks and Classical Feature-Extraction Techniques in Activity-Cliff and Molecular Property Prediction
by: Dablander, Markus
Published: (2024)
by: Dablander, Markus
Published: (2024)
Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
by: Dreyer, Frédéric A., et al.
Published: (2025)
by: Dreyer, Frédéric A., et al.
Published: (2025)
A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration
by: Zhou, Yanlin, et al.
Published: (2024)
by: Zhou, Yanlin, et al.
Published: (2024)
Graph Neural Networks in Modern AI-aided Drug Discovery
by: Zhang, Odin, et al.
Published: (2025)
by: Zhang, Odin, et al.
Published: (2025)
Barlow Twins Deep Neural Network for Advanced 1D Drug-Target Interaction Prediction
by: Schuh, Maximilian G., et al.
Published: (2024)
by: Schuh, Maximilian G., et al.
Published: (2024)
From Prediction to Simulation: AlphaFold 3 as a Differentiable Framework for Structural Biology
by: Abbaszadeh, Alireza, et al.
Published: (2025)
by: Abbaszadeh, Alireza, et al.
Published: (2025)
DISPROTBENCH: Uncovering the Functional Limits of Protein Structure Prediction Models in Intrinsically Disordered Regions
by: Zeng, Xinyue, et al.
Published: (2025)
by: Zeng, Xinyue, et al.
Published: (2025)
TerraBind: Fast and Accurate Binding Affinity Prediction through Coarse Structural Representations
by: Rossi, Matteo, et al.
Published: (2026)
by: Rossi, Matteo, et al.
Published: (2026)
ZeroFold: Protein-RNA Binding Affinity Predictions from Pre-Structural Embeddings
by: Hanke, Josef, et al.
Published: (2026)
by: Hanke, Josef, et al.
Published: (2026)
Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins
by: Quadir, A., et al.
Published: (2024)
by: Quadir, A., et al.
Published: (2024)
NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
by: Qiao, Zhuoran, et al.
Published: (2024)
by: Qiao, Zhuoran, et al.
Published: (2024)
GNNAS-Dock: Budget Aware Algorithm Selection with Graph Neural Networks for Molecular Docking
by: Yuan, Yiliang, et al.
Published: (2024)
by: Yuan, Yiliang, et al.
Published: (2024)
ChemSpaceAL: An Efficient Active Learning Methodology Applied to Protein-Specific Molecular Generation
by: Kyro, Gregory W., et al.
Published: (2023)
by: Kyro, Gregory W., et al.
Published: (2023)
A Heterogeneous Network-based Contrastive Learning Approach for Predicting Drug-Target Interaction
by: Hu, Junwei, et al.
Published: (2024)
by: Hu, Junwei, et al.
Published: (2024)
SIU: A Million-Scale Structural Small Molecule-Protein Interaction Dataset for Unbiased Bioactivity Prediction
by: Huang, Yanwen, et al.
Published: (2024)
by: Huang, Yanwen, et al.
Published: (2024)
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks
by: Penić, Rafael Josip, et al.
Published: (2024)
by: Penić, Rafael Josip, et al.
Published: (2024)
Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
by: Li, Jiahan, et al.
Published: (2022)
by: Li, Jiahan, et al.
Published: (2022)
Coder as Editor: Code-driven Interpretable Molecular Optimization
by: Zhu, Wenyu, et al.
Published: (2025)
by: Zhu, Wenyu, et al.
Published: (2025)
Representing Molecules as Random Walks Over Interpretable Grammars
by: Sun, Michael, et al.
Published: (2024)
by: Sun, Michael, et al.
Published: (2024)
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training
by: Chen, Bo, et al.
Published: (2024)
by: Chen, Bo, et al.
Published: (2024)
Hybrid Quantum Neural Networks for Efficient Protein-Ligand Binding Affinity Prediction
by: Jeong, Seon-Geun, et al.
Published: (2025)
by: Jeong, Seon-Geun, et al.
Published: (2025)
DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm
by: Schwarz, Kyriakos, et al.
Published: (2022)
by: Schwarz, Kyriakos, et al.
Published: (2022)
Interpreting and Steering Protein Language Models through Sparse Autoencoders
by: Garcia, Edith Natalia Villegas, et al.
Published: (2025)
by: Garcia, Edith Natalia Villegas, et al.
Published: (2025)
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
by: Han, Rong, et al.
Published: (2024)
by: Han, Rong, et al.
Published: (2024)
QuickBind: A Light-Weight And Interpretable Molecular Docking Model
by: Treyde, Wojtek, et al.
Published: (2024)
by: Treyde, Wojtek, et al.
Published: (2024)
Automated Neuron Labelling Enables Generative Steering and Interpretability in Protein Language Models
by: Banerjee, Arjun, et al.
Published: (2025)
by: Banerjee, Arjun, et al.
Published: (2025)
PETIMOT: A Novel Framework for Inferring Protein Motions from Sparse Data Using SE(3)-Equivariant Graph Neural Networks
by: Lombard, Valentin, et al.
Published: (2025)
by: Lombard, Valentin, et al.
Published: (2025)
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
by: He, Yinhan, et al.
Published: (2024)
by: He, Yinhan, et al.
Published: (2024)
Structural Interpretations of Protein Language Model Representations via Differentiable Graph Partitioning
by: Dutta, Siddhant, et al.
Published: (2026)
by: Dutta, Siddhant, et al.
Published: (2026)
Auto-ADMET: An Effective and Interpretable AutoML Method for Chemical ADMET Property Prediction
by: de Sá, Alex G. C., et al.
Published: (2025)
by: de Sá, Alex G. C., et al.
Published: (2025)
Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks
by: Ibragimova, Regina, et al.
Published: (2024)
by: Ibragimova, Regina, et al.
Published: (2024)
Multimodal Regression for Enzyme Turnover Rates Prediction
by: Hu, Bozhen, et al.
Published: (2025)
by: Hu, Bozhen, et al.
Published: (2025)
Deep Learning for Protein Complex Prediction and Design
by: Xie, Ziwei
Published: (2026)
by: Xie, Ziwei
Published: (2026)
Structure-Informed Protein Language Model
by: Zhang, Zuobai, et al.
Published: (2024)
by: Zhang, Zuobai, et al.
Published: (2024)
MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
by: Kapuśniak, Kacper, et al.
Published: (2025)
by: Kapuśniak, Kacper, et al.
Published: (2025)
Similar Items
-
Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation
by: Guo, Jinjiang, et al.
Published: (2022) -
Compact Artificial Neural Network Models for Predicting Protein Residue -- RNA Base Binding
by: Selitskiy, Stanislav
Published: (2025) -
Towards Interpretable Protein Structure Prediction with Sparse Autoencoders
by: Parsan, Nithin, et al.
Published: (2025) -
Interpretable Enzyme Function Prediction via Residue-Level Detection
by: Yang, Zhao, et al.
Published: (2025) -
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
by: Zhang, Yang, et al.
Published: (2023)