Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Junjie, Qin, Jiarui, Yu, Yong, Zhang, Weinan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)
by: Zhang, Kangning, et al.
Published: (2024)
DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)
by: Zhang, Kangning, et al.
Published: (2024)
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)
by: Qin, Jiarui, et al.
Published: (2024)
AlignRec: Aligning and Training in Multimodal Recommendations
by: Liu, Yifan, et al.
Published: (2024)
by: Liu, Yifan, et al.
Published: (2024)
Why Not Together? A Multiple-Round Recommender System for Queries and Items
by: Jin, Jiarui, et al.
Published: (2024)
by: Jin, Jiarui, et al.
Published: (2024)
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)
by: Zhu, Jiachen, et al.
Published: (2024)
MLPs are Efficient Distilled Generative Recommenders
by: Guo, Zitian, et al.
Published: (2026)
by: Guo, Zitian, et al.
Published: (2026)
Distance-aware Self-adaptive Graph Convolution for Fine-grained Hierarchical Recommendation
by: Huang, Tao, et al.
Published: (2025)
by: Huang, Tao, et al.
Published: (2025)
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
by: Burabak, Mert, et al.
Published: (2024)
by: Burabak, Mert, et al.
Published: (2024)
Position-aware Graph Transformer for Recommendation
by: Chen, Jiajia, et al.
Published: (2024)
by: Chen, Jiajia, et al.
Published: (2024)
Look into the Future: Deep Contextualized Sequential Recommendation
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Intent-aware Recommendation via Disentangled Graph Contrastive Learning
by: Wang, Yuling, et al.
Published: (2024)
by: Wang, Yuling, et al.
Published: (2024)
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Hypercomplex Prompt-aware Multimodal Recommendation
by: Chen, Zheyu, et al.
Published: (2025)
by: Chen, Zheyu, et al.
Published: (2025)
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
by: Ong, Rongqing Kenneth, et al.
Published: (2024)
by: Ong, Rongqing Kenneth, et al.
Published: (2024)
Generative Data Augmentation in Graph Contrastive Learning for Recommendation
by: Wang, Yansong, et al.
Published: (2025)
by: Wang, Yansong, et al.
Published: (2025)
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
by: Zheng, Lei, et al.
Published: (2024)
by: Zheng, Lei, et al.
Published: (2024)
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation
by: Zhang, Lu, et al.
Published: (2023)
by: Zhang, Lu, et al.
Published: (2023)
SIGformer: Sign-aware Graph Transformer for Recommendation
by: Chen, Sirui, et al.
Published: (2024)
by: Chen, Sirui, et al.
Published: (2024)
MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation
by: Yilma, Bereket A., et al.
Published: (2024)
by: Yilma, Bereket A., et al.
Published: (2024)
Bridging Behavior and Semantics for Time-aware Cross-Domain Sequential Recommendation
by: Qin, Zhida, et al.
Published: (2026)
by: Qin, Zhida, et al.
Published: (2026)
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization
by: Jin, Jiarui, et al.
Published: (2024)
by: Jin, Jiarui, et al.
Published: (2024)
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
by: Shan, Rong, et al.
Published: (2024)
by: Shan, Rong, et al.
Published: (2024)
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)
by: Cheng, Zhiyong, et al.
Published: (2024)
Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
by: Ouyang, Zhongyu, et al.
Published: (2025)
by: Ouyang, Zhongyu, et al.
Published: (2025)
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)
by: Tang, Jiakai, et al.
Published: (2024)
Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation
by: Zheng, Bowen, et al.
Published: (2024)
by: Zheng, Bowen, et al.
Published: (2024)
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
by: Guo, Ziyuan, et al.
Published: (2025)
by: Guo, Ziyuan, et al.
Published: (2025)
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models
by: Xi, Yunjia, et al.
Published: (2024)
by: Xi, Yunjia, et al.
Published: (2024)
Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation
by: Wu, Guowei, et al.
Published: (2024)
by: Wu, Guowei, et al.
Published: (2024)
SWGCN: Synergy Weighted Graph Convolutional Network for Multi-Behavior Recommendation
by: Chen, Fangda, et al.
Published: (2026)
by: Chen, Fangda, et al.
Published: (2026)
Repeat-bias-aware Optimization of Beyond-accuracy Metrics for Next Basket Recommendation
by: Liu, Yuanna, et al.
Published: (2025)
by: Liu, Yuanna, et al.
Published: (2025)
HEC-GCN: Hypergraph Enhanced Cascading Graph Convolution Network for Multi-Behavior Recommendation
by: Yin, Yabo, et al.
Published: (2024)
by: Yin, Yabo, et al.
Published: (2024)
Beyond Positive History: Re-ranking with List-level Hybrid Feedback
by: Weng, Muyan, et al.
Published: (2024)
by: Weng, Muyan, et al.
Published: (2024)
Refined Edge Usage of Graph Neural Networks for Edge Prediction
by: Jin, Jiarui, et al.
Published: (2022)
by: Jin, Jiarui, et al.
Published: (2022)
Similar Items
-
Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations
by: Huang, Junjie, et al.
Published: (2024) -
A Comprehensive Survey on Retrieval Methods in Recommender Systems
by: Huang, Junjie, et al.
Published: (2024) -
Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024) -
DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024) -
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems
by: Qin, Jiarui, et al.
Published: (2024)