Image de couverture de livre

EquiHGNN: Scalable Rotationally Equivariant Hypergraph Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Dang, Tien, Hy, Truong-Son
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Ada-HGNN: Adaptive Sampling for Scalable Hypergraph Neural Networks
par: Wang, Shuai, et autres
Publié: (2024)

E(3)-Equivariant Mesh Neural Networks
par: Trang, Thuan, et autres
Publié: (2024)

Q-BIOLAT: Binary Latent Protein Fitness Landscapes for QUBO-Based Optimization
par: Hy, Truong-Son
Publié: (2026)

Binary Latent Protein Fitness Landscapes for Quantum Annealing Optimization
par: Hy, Truong-Son
Publié: (2026)

ESGNN: Towards Equivariant Scene Graph Neural Network for 3D Scene Understanding
par: Pham, Quang P. M., et autres
Publié: (2024)

PRIME: Protein Representation via Physics-Informed Multiscale Equivariant Hierarchies
par: Nguyen, Viet Thanh Duy, et autres
Publié: (2026)

ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
par: Huang, Xiaobao, et autres
Publié: (2025)

LightHGNN: Distilling Hypergraph Neural Networks into MLPs for $100\times$ Faster Inference
par: Feng, Yifan, et autres
Publié: (2024)

Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
par: Dang, Tien, et autres
Publié: (2025)

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
par: Pham, Quang P. M., et autres
Publié: (2024)

EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
par: Kim, Jongsuk, et autres
Publié: (2024)

Efficient Deep Learning for Medical Imaging: Bridging the Gap Between High-Performance AI and Clinical Deployment
par: Nguyen, Cuong Manh, et autres
Publié: (2026)

Graph Attention-based Deep Reinforcement Learning for solving the Chinese Postman Problem with Load-dependent costs
par: Hy, Truong Son, et autres
Publié: (2023)

MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
par: Yang, Tuan-Anh, et autres
Publié: (2025)

Advances in Protein Representation Learning: Methods, Applications, and Future Directions
par: Nguyen, Viet Thanh Duy, et autres
Publié: (2025)

Hybridising Reinforcement Learning and Heuristics for Hierarchical Directed Arc Routing Problems
par: Nguyen, Van Quang, et autres
Publié: (2025)

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
par: Zhang, Yang, et autres
Publié: (2023)

Multimodal graph representation learning for website generation based on visual sketch
par: Vu, Tung D., et autres
Publié: (2025)

Scalable Quantum-Inspired Optimization through Dynamic Qubit Compression
par: Tran, Co, et autres
Publié: (2024)

Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
par: Hy, Truong Son, et autres
Publié: (2024)

EquiReg: Equivariance Regularized Diffusion for Inverse Problems
par: Tolooshams, Bahareh, et autres
Publié: (2025)

EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
par: Arbel, Michael, et autres
Publié: (2025)

Self-Evolving Multi-Agent Network for Industrial IoT Predictive Maintenance
par: Saleh, Rebin, et autres
Publié: (2026)

Spectral Embeddings Leak Graph Topology: Theory, Benchmark, and Adaptive Reconstruction
par: Nguyen-Cong, Thinh, et autres
Publié: (2026)

DualEquiNet: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules
par: Xu, Junjie, et autres
Publié: (2025)

EquiBoost: An Equivariant Boosting Approach to Molecular Conformation Generation
par: Yang, Yixuan, et autres
Publié: (2025)

LINKER: Learning Interactions Between Functional Groups and Residues With Chemical Knowledge-Enhanced Reasoning and Explainability
par: Pham, Phuc, et autres
Publié: (2025)

Range-aware Positional Encoding via High-order Pretraining: Theory and Practice
par: Nguyen, Viet Anh, et autres
Publié: (2024)

SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
par: Xue, Runzhen, et autres
Publié: (2024)

Real-time Speech Summarization for Medical Conversations
par: Le-Duc, Khai, et autres
Publié: (2024)

EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning
par: Yang, Jingyun, et autres
Publié: (2024)

NoiseHGNN: Synthesized Similarity Graph-Based Neural Network For Noised Heterogeneous Graph Representation Learning
par: Zhang, Xiong, et autres
Publié: (2024)

wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
par: Le-Duc, Khai, et autres
Publié: (2024)

BiEquiFormer: Bi-Equivariant Representations for Global Point Cloud Registration
par: Pertigkiozoglou, Stefanos, et autres
Publié: (2024)

Effective Context Modeling Framework for Emotion Recognition in Conversations
par: Van, Cuong Tran, et autres
Publié: (2024)

EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants
par: Costa, Allan dos Santos, et autres
Publié: (2024)

Wasserstein Hypergraph Neural Network
par: Duta, Iulia, et autres
Publié: (2025)

GROOT: Effective Design of Biological Sequences with Limited Experimental Data
par: Tran, Thanh V. T., et autres
Publié: (2024)

Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
par: Sharma, Vinay, et autres
Publié: (2025)

A Mesh-Adaptive Hypergraph Neural Network for Unsteady Flow Around Oscillating and Rotating Structures
par: Gao, Rui, et autres
Publié: (2025)