Image de couverture de livre

Sequences as Nodes for Contrastive Multimodal Graph Recommendation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Sahyouni, Bucher, Vowels, Matthew, Chen, Liqun, Hadfield, Simon
Format:	Preprint
Publié:	2026
Sujets:	Information Retrieval Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Multimodal Enhancement of Sequential Recommendation
par: Sahyouni, Bucher, et autres
Publié: (2026)

DSL: Understanding and Improving Softmax Recommender Systems with Competition-Aware Scaling
par: Sahyouni, Bucher, et autres
Publié: (2026)

Differential Adjusted Parity for Learning Fair Representations
par: Sahyouni, Bucher, et autres
Publié: (2025)

Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
par: Yu, Jiaheng, et autres
Publié: (2024)

Graph Contrastive Learning on Multi-label Classification for Recommendations
par: Wu, Jiayang, et autres
Publié: (2025)

Beyond Interactions: Node-Level Graph Generation for Knowledge-Free Augmentation in Recommender Systems
par: Wang, Zhaoyan, et autres
Publié: (2025)

HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
par: Xue, Jiawei, et autres
Publié: (2025)

Gated Multimodal Graph Learning for Personalized Recommendation
par: Liu, Sibei, et autres
Publié: (2025)

Multi-Level Graph Attention Network Contrastive Learning for Knowledge-Aware Recommendation
par: Hu, Zhifei, et autres
Publié: (2026)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
par: Liao, Weibin, et autres
Publié: (2024)

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
par: Lin, Xiao, et autres
Publié: (2026)

Semantic Item Graph Enhancement for Multimodal Recommendation
par: Zhang, Xiaoxiong, et autres
Publié: (2025)

Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
par: Dai, Ji, et autres
Publié: (2026)

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
par: Lin, Guojiao, et autres
Publié: (2024)

EGRA:Toward Enhanced Behavior Graphs and Representation Alignment for Multimodal Recommendation
par: Zhang, Xiaoxiong, et autres
Publié: (2025)

Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
par: Ou, Yangxun, et autres
Publié: (2024)

Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
par: Sun, Shengyin, et autres
Publié: (2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
par: Cui, Ziqiang, et autres
Publié: (2025)

RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
par: Choi, Jeongwhan, et autres
Publié: (2023)

A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
par: Zhai, Penglong, et autres
Publié: (2025)

Knowledge Graph Pruning for Recommendation
par: Lin, Fake, et autres
Publié: (2024)

Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
par: Wang, Hui, et autres
Publié: (2025)

Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
par: Zhao, Chu, et autres
Publié: (2024)

Structured Spectral Reasoning for Frequency-Adaptive Multimodal Recommendation
par: Yang, Wei, et autres
Publié: (2025)

A Gated Hybrid Contrastive Collaborative Filtering Recommendation
par: da Silva, Eduardo Ferreira, et autres
Publié: (2026)

MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
par: Guo, Xu, et autres
Publié: (2025)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
par: Ye, Yuyang, et autres
Publié: (2024)

Multimodal Recommender Systems: A Survey
par: Liu, Qidong, et autres
Publié: (2023)

Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation
par: Zhang, Yang, et autres
Publié: (2024)

Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention
par: Jung, Hansol, et autres
Publié: (2024)

Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
par: Huang, Chengkai, et autres
Publié: (2024)

WebQuest: A Benchmark for Multimodal QA on Web Page Sequences
par: Wang, Maria, et autres
Publié: (2024)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
par: Kim, Sein, et autres
Publié: (2025)

Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
par: Huang, Zhirong, et autres
Publié: (2024)

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
par: Yang, Wei, et autres
Publié: (2026)

Contrastive Learning Augmented Social Recommendations
par: Wang, Lin, et autres
Publié: (2025)

GraphPro: Graph Pre-training and Prompt Learning for Recommendation
par: Yang, Yuhao, et autres
Publié: (2023)

Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
par: Zhang, Fan, et autres
Publié: (2025)

MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation
par: Yu, Qihang, et autres
Publié: (2026)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
par: Cui, Ziqiang, et autres
Publié: (2024)