Cover Image

Efficient and Robust Continual Graph Learning for Graph Classification in Biology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Ding, Downer, Jane, Chen, Can, Wang, Ren
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Quantitative Methods
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
by: Liu, Bin, et al.
Published: (2024)

SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification
by: Wang, Yingxu, et al.
Published: (2024)

A Graph-in-Graph Learning Framework for Drug-Target Interaction Prediction
by: Song, Yuehua, et al.
Published: (2025)

GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
by: Zhang, Heming, et al.
Published: (2024)

Molecular Topological Profile (MOLTOP) -- Simple and Strong Baseline for Molecular Graph Classification
by: Adamczyk, Jakub, et al.
Published: (2024)

Masked Autoencoder Joint Learning for Robust Spitzoid Tumor Classification
by: Carretero, Ilán, et al.
Published: (2025)

Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning
by: Wang, Runzhong, et al.
Published: (2025)

Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel
by: Li, Xuan, et al.
Published: (2023)

GraphGDel: Constructing and Learning Graph Representations of Genome-Scale Metabolic Models for Growth-Coupled Gene Deletion Prediction
by: Yang, Ziwei, et al.
Published: (2025)

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention
by: Bini, Lorenzo, et al.
Published: (2024)

KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction
by: Li, Longlong, et al.
Published: (2024)

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
by: Laabid, Najwa, et al.
Published: (2024)

Injecting Hierarchical Biological Priors into Graph Neural Networks for Flow Cytometry Prediction
by: Mojarrad, Fatemeh Nassajian, et al.
Published: (2024)

Graph-Theoretic Models for the Prediction of Molecular Measurements
by: Niane, Anna, et al.
Published: (2026)

Automated Statistical and Machine Learning Platform for Biological Research
by: Lego, Luke Rimmo, et al.
Published: (2025)

Molecular Odor Prediction Based on Multi-Feature Graph Attention Networks
by: Xie, HongXin, et al.
Published: (2025)

Multi-scale Graph Autoregressive Modeling: Molecular Property Prediction via Next Token Prediction
by: Jiang, Zhuoyang, et al.
Published: (2026)

Graph-Based Biomarker Discovery and Interpretation for Alzheimer's Disease
by: Khalid, Maryam, et al.
Published: (2024)

Graph Residual based Method for Molecular Property Prediction
by: Sen, Kanad, et al.
Published: (2024)

A Complete Guide to Spherical Equivariant Graph Transformers
by: Tang, Sophia
Published: (2025)

CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning
by: Wu, Dongxia, et al.
Published: (2026)

Interpretable Causal Representation Learning for Biological Data in the Pathway Space
by: de la Fuente, Jesus, et al.
Published: (2025)

Predicting Drug Solubility Using Different Machine Learning Methods -- Linear Regression Model with Extracted Chemical Features vs Graph Convolutional Neural Network
by: Ho, John, et al.
Published: (2023)

Fourier-enhanced Neural Networks For Systems Biology Applications
by: Xu, Enze, et al.
Published: (2025)

MGKAN: Predicting Asymmetric Drug-Drug Interactions via a Multimodal Graph Kolmogorov-Arnold Network
by: Fan, Kunyi, et al.
Published: (2026)

Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
by: Chen, Xuexin, et al.
Published: (2025)

VillageNet: Graph-based, Easily-interpretable, Unsupervised Clustering for Broad Biomedical Applications
by: Ballal, Aditya, et al.
Published: (2025)

A Robust Support Vector Machine Approach for Raman COVID-19 Data Classification
by: Piazza, Marco, et al.
Published: (2025)

Motif-aware Attribute Masking for Molecular Graph Pre-training
by: Inae, Eric, et al.
Published: (2023)

Drug Repurposing Using Deep Embedded Clustering and Graph Neural Networks
by: Delzer, Luke, et al.
Published: (2025)

Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
by: KC, Kishan, et al.
Published: (2022)

XIMP: Cross Graph Inter-Message Passing for Molecular Property Prediction
by: Ehrlich, Anatol, et al.
Published: (2026)

Causal Inference, Biomarker Discovery, Graph Neural Network, Feature Selection
by: Lan, Chaowang, et al.
Published: (2025)

NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks
by: Lan, Yi-Shan, et al.
Published: (2024)

Molecule-dynamic-based Aging Clock and Aging Roadmap Forecast with Sundial
by: Wu, Wei, et al.
Published: (2025)

Node-Aligned Graph-to-Graph (NAG2G): Elevating Template-Free Deep Learning Approaches in Single-Step Retrosynthesis
by: Yao, Lin, et al.
Published: (2023)

Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs
by: Graber, David, et al.
Published: (2025)

ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
by: Mitra, Shania, et al.
Published: (2024)

Dual-Pathway Fusion of EHRs and Knowledge Graphs for Predicting Unseen Drug-Drug Interactions
by: Lee, Franklin, et al.
Published: (2025)

HIGHT: Hierarchical Graph Tokenization for Molecule-Language Alignment
by: Chen, Yongqiang, et al.
Published: (2024)