Cover Image

LASSO-MOGAT: A Multi-Omics Graph Attention Framework for Cancer Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alharbi, Fadi, Vakanski, Aleksandar, Elbashir, Murtada K., Mohammed, Mohanad
Format:	Preprint
Published:	2024
Subjects:	Machine Learning 68
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Interpretable Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification using Multi-Omics Data
by: Alharbi, Fadi, et al.
Published: (2025)

Comparative Analysis of Multi-Omics Integration Using Advanced Graph Neural Networks for Cancer Classification
by: Alharbi, Fadi, et al.
Published: (2024)

Benchmarking Graph Representations and Graph Neural Networks for Multivariate Time Series Classification
by: Yang, Wennuo, et al.
Published: (2025)

A Predicting Phishing Websites Using Support Vector Machine and MultiClass Classification Based on Association Rule Techniques
by: Woods, Nancy C., et al.
Published: (2025)

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting
by: Zhao, Xinlong, et al.
Published: (2025)

A Framework for Scalable Heterogeneous Multi-Agent Adversarial Reinforcement Learning in IsaacLab
by: Peterson, Isaac, et al.
Published: (2025)

GCSAM: Gradient Centralized Sharpness Aware Minimization
by: Hassan, Mohamed, et al.
Published: (2025)

A2DMN: Anatomy-Aware Dilated Multiscale Network for Breast Ultrasound Semantic Segmentation
by: Lucke, Kyle, et al.
Published: (2024)

Graph in Graph Neural Network
by: Wang, Jiongshu, et al.
Published: (2024)

Efficient Graph Coloring with Neural Networks: A Physics-Inspired Approach for Large Graphs
by: Colantonio, Lorenzo, et al.
Published: (2024)

Graph Attention Network-Based Detection of Autism Spectrum Disorder
by: Kelly, Abigail, et al.
Published: (2026)

Quantum Machine Learning for Colorectal Cancer Data: Anastomotic Leak Classification and Risk Factors
by: Novák, Vojtěch, et al.
Published: (2026)

Credal and Interval Deep Evidential Classifications
by: Caprio, Michele, et al.
Published: (2025)

Reduced Jeffries-Matusita distance: A Novel Loss Function to Improve Generalization Performance of Deep Classification Models
by: Lashkari, Mohammad, et al.
Published: (2024)

A Hybrid Deep Learning and Anomaly Detection Framework for Real-Time Malicious URL Classification
by: Khaled, Berkani, et al.
Published: (2025)

Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?
by: Hassan, Mohamed, et al.
Published: (2024)

Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
by: Wang, Long, et al.
Published: (2025)

A Structural Feature-Based Approach for Comprehensive Graph Classification
by: Islam, Saiful, et al.
Published: (2024)

Harmony: A Joint Self-Supervised and Weakly-Supervised Framework for Learning General Purpose Visual Representations
by: Baharoon, Mohammed, et al.
Published: (2024)

MPRU: Modular Projection-Redistribution Unlearning as Output Filter for Classification Pipelines
by: Peng, Minyi, et al.
Published: (2025)

Distinguished In Uniform: Self Attention Vs. Virtual Nodes
by: Rosenbluth, Eran, et al.
Published: (2024)

Graph Neural Networks for Brain Graph Learning: A Survey
by: Luo, Xuexiong, et al.
Published: (2024)

Superior Scoring Rules for Probabilistic Evaluation of Single-Label Multi-Class Classification Tasks
by: Ahmadian, Rouhollah, et al.
Published: (2024)

Representation Integrity in Temporal Graph Learning Methods
by: Kooshafar, Elahe
Published: (2025)

Learning to Control the Smoothness of Graph Convolutional Network Features
by: Wang, Shih-Hsin, et al.
Published: (2024)

An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions
by: Aldroubi, Akram, et al.
Published: (2025)

Graph-Conditional Flow Matching for Relational Data Generation
by: Scassola, Davide, et al.
Published: (2025)

Non-asymptotic bounds for forward processes in denoising diffusions: Ornstein-Uhlenbeck is hard to beat
by: Brešar, Miha, et al.
Published: (2024)

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
by: Mitchell, Rupert, et al.
Published: (2025)

A Multi-Step Comparative Framework for Anomaly Detection in IoT Data Streams
by: Al-Qudah, Mohammed, et al.
Published: (2025)

Attention to Mamba: A Recipe for Cross-Architecture Distillation
by: Moudgil, Abhinav, et al.
Published: (2026)

Graph Transformers: A Survey
by: Shehzad, Ahsan, et al.
Published: (2024)

Large Language Model Meets Graph Neural Network in Knowledge Distillation
by: Hu, Shengxiang, et al.
Published: (2024)

Deceptive Path Planning via Reinforcement Learning with Graph Neural Networks
by: Fatemi, Michael Y., et al.
Published: (2024)

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
by: Wenkel, Frederik, et al.
Published: (2022)

Evaluating Large Language Models for Public Health Classification and Extraction Tasks
by: Harris, Joshua, et al.
Published: (2024)

A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
by: Canastra, Catarina, et al.
Published: (2025)

CancerKG.ORG A Web-scale, Interactive, Verifiable Knowledge Graph-LLM Hybrid for Assisting with Optimal Cancer Treatment and Care
by: Gubanov, Michael, et al.
Published: (2024)

From Features to Graphs: Exploring Graph Structures and Pairwise Interactions via GNNs
by: Yamchote, Phaphontee, et al.
Published: (2025)

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)