Cover Image

Multi-Scale Protein Structure Modelling with Geometric Graph U-Nets

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Chang, Li, Vivian, Leong, Linus, Radenkovic, Vladimir, Liò, Pietro, Joshi, Chaitanya K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Expressive Power of Geometric Graph Neural Networks
by: Joshi, Chaitanya K., et al.
Published: (2023)

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
by: El, Batu, et al.
Published: (2025)

Transformers are Graph Neural Networks
by: Joshi, Chaitanya K.
Published: (2025)

gRNAde: Geometric Deep Learning for 3D RNA inverse design
by: Joshi, Chaitanya K., et al.
Published: (2023)

EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
by: Sun, B., et al.
Published: (2025)

SPHINX: Structural Prediction using Hypergraph Inference Network
by: Duta, Iulia, et al.
Published: (2024)

Decoding the Stressed Brain with Geometric Machine Learning
by: Koszut, Sonia, et al.
Published: (2025)

Concept Graph Convolutions: Message Passing in the Concept Space
by: Magister, Lucie Charlotte, et al.
Published: (2026)

UESA-Net: U-Shaped Embedded Multidirectional Shrinkage Attention Network for Ultrasound Nodule Segmentation
by: Shi, Tangqi, et al.
Published: (2025)

Diffusion-Free Graph Generation with Next-Scale Prediction
by: Belkadi, Samuel, et al.
Published: (2025)

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems
by: Duval, Alexandre, et al.
Published: (2023)

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)

Superposition in Graph Neural Networks
by: Pertl, Lukas, et al.
Published: (2025)

MoRE-GNN: Multi-omics Data Integration with a Heterogeneous Graph Autoencoder
by: Wang, Zhiyu, et al.
Published: (2025)

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text and Protein Sequences for Protein Engineering
by: Shen, Yiqing, et al.
Published: (2024)

KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis
by: Zuo, Kaiwen, et al.
Published: (2024)

Wasserstein Hypergraph Neural Network
by: Duta, Iulia, et al.
Published: (2025)

Neural Bipartite Matching
by: Georgiev, Dobrik, et al.
Published: (2020)

SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
by: Bazaga, Adrián, et al.
Published: (2023)

Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification
by: Cornelio, Cristina, et al.
Published: (2025)

IgCraft: A versatile sequence generation framework for antibody discovery and engineering
by: Greenig, Matthew, et al.
Published: (2025)

GeoCert: Certified Geometric AI for Reliable Forecasting
by: Zhang, Regina, et al.
Published: (2026)

GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
by: Margeloiu, Andrei, et al.
Published: (2022)

Subgraph Concept Networks: Concept Levels in Graph Classification
by: Magister, Lucie Charlotte, et al.
Published: (2026)

Topotein: Topological Deep Learning for Protein Representation Learning
by: Wang, Zhiyu, et al.
Published: (2025)

X-MeshGraphNet: Scalable Multi-Scale Graph Neural Networks for Physics Simulation
by: Nabian, Mohammad Amin, et al.
Published: (2024)

Bridging Graph and State-Space Modeling for Intensive Care Unit Length of Stay Prediction
by: Zi, Shuqi, et al.
Published: (2025)

How Smoothing is N-simplicial Attention?
by: Dussolle, Alexandre, et al.
Published: (2025)

On the Sheafification of Higher-Order Message Passing
by: Hume, Jacob, et al.
Published: (2025)

CALF: Communication-Aware Learning Framework for Distributed Reinforcement Learning
by: Purves, Carlos, et al.
Published: (2026)

GenRec: Generative Sequential Recommendation with Large Language Models
by: Cao, Panfeng, et al.
Published: (2024)

ContactNet: Geometric-Based Deep Learning Model for Predicting Protein-Protein Interactions
by: Halfon, Matan, et al.
Published: (2024)

An Empirical Investigation of Neural ODEs and Symbolic Regression for Dynamical Systems
by: Ioannou, Panayiotis, et al.
Published: (2026)

Unsupervised Pretraining for Fact Verification by Language Model Distillation
by: Bazaga, Adrián, et al.
Published: (2023)

Language Model Knowledge Distillation for Efficient Question Answering in Spanish
by: Bazaga, Adrián, et al.
Published: (2023)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
by: Li, Xinyi, et al.
Published: (2026)

HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs
by: Bazaga, Adrián, et al.
Published: (2024)

Will More Expressive Graph Neural Networks do Better on Generative Tasks?
by: Zou, Xiandong, et al.
Published: (2023)

The Deep Equilibrium Algorithmic Reasoner
by: Georgiev, Dobrik, et al.
Published: (2024)

Predicting time-varying flux and balance in metabolic systems using structured neural-ODE processes
by: Rathod, Santanu, et al.
Published: (2024)