Spectral Manifold Harmonization for Graph Imbalanced Regression
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Nogueira, Brenda, Gomes, Gabe, Jiang, Meng, Chawla, Nitesh V., Moniz, Nuno |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression
par: Nogueira, Brenda, et autres
Publié: (2025)
par: Nogueira, Brenda, et autres
Publié: (2025)
Conformalized Selective Regression
par: Sokol, Anna, et autres
Publié: (2024)
par: Sokol, Anna, et autres
Publié: (2024)
Intersectional Divergence: Measuring Fairness in Regression
par: Germino, Joe, et autres
Publié: (2025)
par: Germino, Joe, et autres
Publié: (2025)
Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models
par: Nogueira, Brenda, et autres
Publié: (2026)
par: Nogueira, Brenda, et autres
Publié: (2026)
From Regression to Classification: Exploring the Benefits of Categorical Representations of Energy in MLIPs
par: Ali, Ahmad
Publié: (2025)
par: Ali, Ahmad
Publié: (2025)
AnyLoss: Transforming Classification Metrics into Loss Functions
par: Han, Doheon, et autres
Publié: (2024)
par: Han, Doheon, et autres
Publié: (2024)
Product Manifold Representations for Learning on Biological Pathways
par: McNeela, Daniel, et autres
Publié: (2024)
par: McNeela, Daniel, et autres
Publié: (2024)
Fast Explanations via Policy Gradient-Optimized Explainer
par: Pan, Deng, et autres
Publié: (2024)
par: Pan, Deng, et autres
Publié: (2024)
Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry
par: Wang, Zeyu, et autres
Publié: (2024)
par: Wang, Zeyu, et autres
Publié: (2024)
Biological Pathway Informed Models with Graph Attention Networks (GATs)
par: Wong, Gavin, et autres
Publié: (2025)
par: Wong, Gavin, et autres
Publié: (2025)
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
par: Borzone, Eugenio, et autres
Publié: (2025)
par: Borzone, Eugenio, et autres
Publié: (2025)
Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions
par: Konar, Debanjan, et autres
Publié: (2025)
par: Konar, Debanjan, et autres
Publié: (2025)
STL-based Optimization of Biomolecular Neural Networks for Regression and Control
par: Palanques-Tost, Eric, et autres
Publié: (2025)
par: Palanques-Tost, Eric, et autres
Publié: (2025)
In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
par: Son, Nguyen Manh, et autres
Publié: (2025)
par: Son, Nguyen Manh, et autres
Publié: (2025)
Automated Inference of Graph Transformation Rules
par: Andersen, Jakob L., et autres
Publié: (2024)
par: Andersen, Jakob L., et autres
Publié: (2024)
LLaMo: Large Language Model-based Molecular Graph Assistant
par: Park, Jinyoung, et autres
Publié: (2024)
par: Park, Jinyoung, et autres
Publié: (2024)
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
par: Carvalho, Tânia, et autres
Publié: (2022)
par: Carvalho, Tânia, et autres
Publié: (2022)
RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine
par: Hays, Hasi, et autres
Publié: (2026)
par: Hays, Hasi, et autres
Publié: (2026)
The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks
par: Nakis, Nikolaos, et autres
Publié: (2025)
par: Nakis, Nikolaos, et autres
Publié: (2025)
A Multimodal Human Protein Embeddings Database: DeepDrug Protein Embeddings Bank (DPEB)
par: Sajol, Md Saiful Islam, et autres
Publié: (2025)
par: Sajol, Md Saiful Islam, et autres
Publié: (2025)
Machine Learning Methods for Gene Regulatory Network Inference
par: Hegde, Akshata, et autres
Publié: (2025)
par: Hegde, Akshata, et autres
Publié: (2025)
Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations
par: Thöni, Anna C. M., et autres
Publié: (2025)
par: Thöni, Anna C. M., et autres
Publié: (2025)
Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
par: Chi, Changxi, et autres
Publié: (2025)
par: Chi, Changxi, et autres
Publié: (2025)
Practical Causal Evaluation Metrics for Biological Networks
par: Sato, Noriaki, et autres
Publié: (2025)
par: Sato, Noriaki, et autres
Publié: (2025)
A scalable gene network model of regulatory dynamics in single cells
par: Bertin, Paul, et autres
Publié: (2025)
par: Bertin, Paul, et autres
Publié: (2025)
Quantum Approximate Optimization Algorithm for Spatiotemporal Forecasting of HIV Clusters
par: Roosan, Don, et autres
Publié: (2025)
par: Roosan, Don, et autres
Publié: (2025)
ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
par: Wang, Yingxu, et autres
Publié: (2025)
par: Wang, Yingxu, et autres
Publié: (2025)
A deep graph model for the signed interaction prediction in biological network
par: Jin, Shuyi, et autres
Publié: (2024)
par: Jin, Shuyi, et autres
Publié: (2024)
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
par: Kim, Seojin, et autres
Publié: (2024)
par: Kim, Seojin, et autres
Publié: (2024)
Adjoint Sensitivity Analysis on Multi-Scale Bioprocess Stochastic Reaction Network
par: Choy, Keilung, et autres
Publié: (2024)
par: Choy, Keilung, et autres
Publié: (2024)
A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
par: Bardozzo, Francesco, et autres
Publié: (2020)
par: Bardozzo, Francesco, et autres
Publié: (2020)
TwinPurify: Purifying gene expression data to reveal tumor-intrinsic transcriptional programs via self-supervised learning
par: Zheng, Zhiwei, et autres
Publié: (2026)
par: Zheng, Zhiwei, et autres
Publié: (2026)
Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
par: Seber, Pedro
Publié: (2024)
par: Seber, Pedro
Publié: (2024)
Traditional machine learning vs. deep learning from dynamic graph representations of proteins' 3D folds in the task of protein structure classification
par: Wells, Aydin, et autres
Publié: (2026)
par: Wells, Aydin, et autres
Publié: (2026)
PLANET v2.0: A comprehensive Protein-Ligand Affinity Prediction Model Based on Mixture Density Network
par: Gao, Haotian, et autres
Publié: (2026)
par: Gao, Haotian, et autres
Publié: (2026)
Quantifying Ranking Instability Across Evaluation Protocol Axes in Gene Regulatory Network Benchmarking
par: Kendiukhov, Ihor
Publié: (2026)
par: Kendiukhov, Ihor
Publié: (2026)
Latent Causal Diffusions for Single-Cell Perturbation Modeling
par: Lorch, Lars, et autres
Publié: (2026)
par: Lorch, Lars, et autres
Publié: (2026)
Information-Theoretic Requirements for Gradient-Based Task Affinity Estimation in Multi-Task Learning
par: Zhang, Jasper, et autres
Publié: (2026)
par: Zhang, Jasper, et autres
Publié: (2026)
Complex Networks and the Drug Repositioning Problem
par: Haiek, Felipe Bivort
Publié: (2026)
par: Haiek, Felipe Bivort
Publié: (2026)
Evaluation of network-guided random forest for disease gene discovery
par: Hu, Jianchang, et autres
Publié: (2023)
par: Hu, Jianchang, et autres
Publié: (2023)
Documents similaires
-
SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression
par: Nogueira, Brenda, et autres
Publié: (2025) -
Conformalized Selective Regression
par: Sokol, Anna, et autres
Publié: (2024) -
Intersectional Divergence: Measuring Fairness in Regression
par: Germino, Joe, et autres
Publié: (2025) -
Genotype-Conditioned Molecular Generation via Evidence-Grounded Multi-Objective Latent Perturbation in Diffusion Models
par: Nogueira, Brenda, et autres
Publié: (2026) -
From Regression to Classification: Exploring the Benefits of Categorical Representations of Energy in MLIPs
par: Ali, Ahmad
Publié: (2025)