Imagen de Portada

Tensorized Hypergraph Neural Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Maolin, Zhen, Yaoming, Pan, Yu, Zhao, Yao, Zhuang, Chenyi, Xu, Zenglin, Guo, Ruocheng, Zhao, Xiangyu
Formato:	Preprint
Publicado:	2023
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup
por: Wang, Maolin, et al.
Publicado: (2023)

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
por: Zhang, Sheng, et al.
Publicado: (2024)

Renormalization Group Guided Tensor Network Structure Search
por: Wang, Maolin, et al.
Publicado: (2025)

Cumulative Distribution Function based General Temporal Point Processes
por: Wang, Maolin, et al.
Publicado: (2024)

MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
por: Wang, Maolin, et al.
Publicado: (2025)

Stepwise Reasoning Error Disruption Attack of LLMs
por: Peng, Jingyu, et al.
Publicado: (2024)

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
por: Zhao, Xinjian, et al.
Publicado: (2024)

Neural Algorithmic Reasoning for Hypergraphs with Looped Transformers
por: Huang, Zekai, et al.
Publicado: (2025)

IDInit: A Universal and Stable Initialization Method for Neural Network Training
por: Pan, Yu, et al.
Publicado: (2025)

Embedding in Recommender Systems: A Survey
por: Wang, Maolin, et al.
Publicado: (2023)

Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
por: Guo, Ping, et al.
Publicado: (2021)

ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents
por: Li, Dawei, et al.
Publicado: (2026)

Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
por: Wu, Tongzhou, et al.
Publicado: (2025)

Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning
por: Han, Xiao, et al.
Publicado: (2025)

FunReason-MT Technical Report: Advanced Data Synthesis Solution for Real-world Multi-Turn Tool-use
por: Xu, Zengzhuang, et al.
Publicado: (2025)

Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling
por: Hao, Bingguang, et al.
Publicado: (2025)

Temporally Detailed Hypergraph Neural ODEs for Disease Progression Modeling
por: Xiao, Tingsong, et al.
Publicado: (2025)

Tensor Networks Meet Neural Networks: A Survey and Future Perspectives
por: Wang, Maolin, et al.
Publicado: (2023)

Anomaly Detection Based on Critical Paths for Deep Neural Networks
por: Zhao, Fangzhen, et al.
Publicado: (2025)

Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks
por: Furlong, Aidan, et al.
Publicado: (2025)

Implicit Hypergraph Neural Network
por: Choudhuri, Akash, et al.
Publicado: (2025)

HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding
por: Li, Zhao, et al.
Publicado: (2024)

Lookahead: An Inference Acceleration Framework for Large Language Model with Lossless Generation Accuracy
por: Zhao, Yao, et al.
Publicado: (2023)

PM-Nav: Priori-Map Guided Embodied Navigation in Functional Buildings
por: Gao, Jiang, et al.
Publicado: (2026)

Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
por: Yu, Leisheng, et al.
Publicado: (2025)

LightZeroNav: Zero-Shot Vision Language Navigation in Continuous Environments Based on Lightweight VLMs
por: Luo, Kun, et al.
Publicado: (2026)

Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities
por: Tao, Sha, et al.
Publicado: (2026)

Hyperbolic Hypergraph Neural Networks for Multi-Relational Knowledge Hypergraph Representation
por: Li, Mengfan, et al.
Publicado: (2024)

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

Resilience Inference for Supply Chains with Hypergraph Neural Network
por: Shen, Zetian, et al.
Publicado: (2025)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
por: Guo, Xu, et al.
Publicado: (2025)

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger
por: Sun, Li, et al.
Publicado: (2026)

CrossCult-KIBench: A Benchmark for Cross-Cultural Knowledge Insertion in MLLMs
por: Zeng, Zhen, et al.
Publicado: (2026)

Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution
por: He, Kaiwen, et al.
Publicado: (2025)

CMMR-VLN: Vision-and-Language Navigation via Continual Multimodal Memory Retrieval
por: Li, Haozhou, et al.
Publicado: (2026)

SQLCritic: Correcting Text-to-SQL Generation via Clause-wise Critic
por: Chen, Jikai, et al.
Publicado: (2025)

Multi-Modal Hypergraph Enhanced LLM Learning for Recommendation
por: Guo, Xu, et al.
Publicado: (2025)

GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
por: Zhang, Sheng, et al.
Publicado: (2024)

Counterfactual Explanations for Hypergraph Neural Networks
por: Veglianti, Fabiano, et al.
Publicado: (2026)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
por: Wang, Yuhao, et al.
Publicado: (2024)