LGMRec: Local and Global Graph Learning for Multimodal Recommendation
Fuente:
arXiv
Guardado en:
| Autores principales: | Guo, Zhiqiang, Li, Jianjun, Li, Guohui, Wang, Chaoyang, Shi, Si, Ruan, Bin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
por: Guo, Zhiqiang, et al.
Publicado: (2024)
por: Guo, Zhiqiang, et al.
Publicado: (2024)
Multimodal Difference Learning for Sequential Recommendation
por: Li, Changhong, et al.
Publicado: (2024)
por: Li, Changhong, et al.
Publicado: (2024)
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
por: Guo, Ziyuan, et al.
Publicado: (2025)
por: Guo, Ziyuan, et al.
Publicado: (2025)
Knowledge Graph Driven Recommendation System Algorithm
por: Zhang, Chaoyang, et al.
Publicado: (2023)
por: Zhang, Chaoyang, et al.
Publicado: (2023)
MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
por: Dang, Yuzhuo, et al.
Publicado: (2025)
por: Dang, Yuzhuo, et al.
Publicado: (2025)
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives
por: Ding, Leilei, et al.
Publicado: (2024)
por: Ding, Leilei, et al.
Publicado: (2024)
Gated Multimodal Graph Learning for Personalized Recommendation
por: Liu, Sibei, et al.
Publicado: (2025)
por: Liu, Sibei, et al.
Publicado: (2025)
Proxy Model-Guided Reinforcement Learning for Client Selection in Federated Recommendation
por: Qu, Liang, et al.
Publicado: (2025)
por: Qu, Liang, et al.
Publicado: (2025)
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
por: Wang, Yuling, et al.
Publicado: (2024)
por: Wang, Yuling, et al.
Publicado: (2024)
Structurally Refined Graph Transformer for Multimodal Recommendation
por: Shi, Ke, et al.
Publicado: (2025)
por: Shi, Ke, et al.
Publicado: (2025)
From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
por: Jia, Pengyue, et al.
Publicado: (2026)
por: Jia, Pengyue, et al.
Publicado: (2026)
Towards Trustworthy Multimodal Recommendation
por: Li, Zixuan
Publicado: (2026)
por: Li, Zixuan
Publicado: (2026)
SLIF-MR: Self-loop Iterative Fusion of Heterogeneous Auxiliary Information for Multimodal Recommendation
por: Guo, Jie, et al.
Publicado: (2025)
por: Guo, Jie, et al.
Publicado: (2025)
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)
por: Xu, Jinfeng, et al.
Publicado: (2025)
Causality-Inspired Fair Representation Learning for Multimodal Recommendation
por: Chen, Weixin, et al.
Publicado: (2023)
por: Chen, Weixin, et al.
Publicado: (2023)
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2024)
por: Xu, Jinfeng, et al.
Publicado: (2024)
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
por: Burabak, Mert, et al.
Publicado: (2024)
por: Burabak, Mert, et al.
Publicado: (2024)
DCGL: Dual-Channel Graph Learning with Large Language Models for Knowledge-Aware Recommendation
por: Zou, Xinchi, et al.
Publicado: (2026)
por: Zou, Xinchi, et al.
Publicado: (2026)
Distributionally Robust Graph-based Recommendation System
por: Wang, Bohao, et al.
Publicado: (2024)
por: Wang, Bohao, et al.
Publicado: (2024)
Understanding Internal Representations of Recommendation Models with Sparse Autoencoders
por: Wang, Jiayin, et al.
Publicado: (2024)
por: Wang, Jiayin, et al.
Publicado: (2024)
APAO: Adaptive Prefix-Aware Optimization for Generative Recommendation
por: Yu, Yuanqing, et al.
Publicado: (2026)
por: Yu, Yuanqing, et al.
Publicado: (2026)
MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
por: Xu, Jinfeng, et al.
Publicado: (2025)
por: Xu, Jinfeng, et al.
Publicado: (2025)
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
por: Li, Yuan, et al.
Publicado: (2026)
por: Li, Yuan, et al.
Publicado: (2026)
Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation
por: Liang, Jiahao, et al.
Publicado: (2025)
por: Liang, Jiahao, et al.
Publicado: (2025)
Serendipitous Recommendation with Multimodal LLM
por: Wang, Haoting, et al.
Publicado: (2025)
por: Wang, Haoting, et al.
Publicado: (2025)
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)
por: Xu, Jinfeng, et al.
Publicado: (2025)
Amplify Graph Learning for Recommendation via Sparsity Completion
por: Yuan, Peng, et al.
Publicado: (2024)
por: Yuan, Peng, et al.
Publicado: (2024)
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
por: Cai, Miaomiao, et al.
Publicado: (2025)
por: Cai, Miaomiao, et al.
Publicado: (2025)
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
por: Huang, Junjie, et al.
Publicado: (2024)
por: Huang, Junjie, et al.
Publicado: (2024)
Position-aware Graph Transformer for Recommendation
por: Chen, Jiajia, et al.
Publicado: (2024)
por: Chen, Jiajia, et al.
Publicado: (2024)
Behavior-Guided Candidate Calibration for Multimodal Recommendation
por: Li, Zesheng, et al.
Publicado: (2026)
por: Li, Zesheng, et al.
Publicado: (2026)
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)
por: Xu, Jinfeng, et al.
Publicado: (2025)
Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System
por: Chen, Hao, et al.
Publicado: (2025)
por: Chen, Hao, et al.
Publicado: (2025)
Boundary-Aware Multi-Behavior Dynamic Graph Transformer for Sequential Recommendation
por: Su, Jingsong, et al.
Publicado: (2026)
por: Su, Jingsong, et al.
Publicado: (2026)
SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
por: Wang, Binhao, et al.
Publicado: (2025)
por: Wang, Binhao, et al.
Publicado: (2025)
Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
por: Li, Zhenyang, et al.
Publicado: (2023)
por: Li, Zhenyang, et al.
Publicado: (2023)
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
por: Wu, Renzhi, et al.
Publicado: (2025)
por: Wu, Renzhi, et al.
Publicado: (2025)
Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation
por: Sang, Lei, et al.
Publicado: (2025)
por: Sang, Lei, et al.
Publicado: (2025)
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
por: Wei, Yibiao, et al.
Publicado: (2025)
por: Wei, Yibiao, et al.
Publicado: (2025)
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
por: Wang, Yansong, et al.
Publicado: (2025)
por: Wang, Yansong, et al.
Publicado: (2025)
Ejemplares similares
-
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
por: Guo, Zhiqiang, et al.
Publicado: (2024) -
Multimodal Difference Learning for Sequential Recommendation
por: Li, Changhong, et al.
Publicado: (2024) -
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
por: Guo, Ziyuan, et al.
Publicado: (2025) -
Knowledge Graph Driven Recommendation System Algorithm
por: Zhang, Chaoyang, et al.
Publicado: (2023) -
MLLMRec: A Preference Reasoning Paradigm with Graph Refinement for Multimodal Recommendation
por: Dang, Yuzhuo, et al.
Publicado: (2025)