Cover Image

Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zheyu, Xu, Jinfeng, Hu, Haibo
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
by: Xu, Jinfeng, et al.
Published: (2025)

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
by: Xu, Jinfeng, et al.
Published: (2026)

Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
by: Ong, Rongqing Kenneth, et al.
Published: (2024)

Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy
by: Mo, Feng, et al.
Published: (2024)

Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation with Interpretability
by: Zhou, Xin, et al.
Published: (2024)

HistLLM: A Unified Framework for LLM-Based Multimodal Recommendation with User History Encoding and Compression
by: Zhang, Chen, et al.
Published: (2025)

Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale
by: Pan, Yongsen, et al.
Published: (2026)

Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning
by: Zhang, Lingzi, et al.
Published: (2023)

CM$^3$: Calibrating Multimodal Recommendation
by: Zhou, Xin, et al.
Published: (2025)

Semantic Item Graph Enhancement for Multimodal Recommendation
by: Zhang, Xiaoxiong, et al.
Published: (2025)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
by: Liu, Qijiong, et al.
Published: (2024)

Attribute-driven Disentangled Representation Learning for Multimodal Recommendation
by: Li, Zhenyang, et al.
Published: (2023)

COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)

Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
by: Ouyang, Kai, et al.
Published: (2023)

DREAM: A Dual Representation Learning Model for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)

Learning Item Representations Directly from Multimodal Features for Effective Recommendation
by: Zhou, Xin, et al.
Published: (2025)

CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation
by: Zhan, Hao, et al.
Published: (2026)

Does Multimodality Improve Recommender Systems as Expected? A Critical Analysis and Future Directions
by: Zhou, Hongyu, et al.
Published: (2025)

Modality-Aware Identity Construction and Counterfactual Structure Learning for ID-Free Multimodal Recommendation
by: Ma, Hongjian, et al.
Published: (2026)

MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model
by: Wang, Haoyu, et al.
Published: (2025)

From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
by: Li, Guohao, et al.
Published: (2025)

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)

Hypercomplex Prompt-aware Multimodal Recommendation
by: Chen, Zheyu, et al.
Published: (2025)

OTCR: Optimal Transmission, Compression and Representation for Multimodal Information Extraction
by: Li, Yang, et al.
Published: (2025)

Dual-Diffusional Generative Fashion Recommendation
by: Yu, Mingzhe, et al.
Published: (2026)

Knowledge-aware Diffusion-Enhanced Multimedia Recommendation
by: Mo, Xian, et al.
Published: (2025)

Balancing Semantic Relevance and Engagement in Related Video Recommendations
by: Jaspal, Amit, et al.
Published: (2025)

MMRec: Simplifying Multimodal Recommendation
by: Zhou, Xin
Published: (2023)

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
by: Fan, Qile, et al.
Published: (2024)

ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
by: Luo, Pengfei, et al.
Published: (2025)

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion
by: Sun, Huatuan, et al.
Published: (2025)

Multimodal Learned Sparse Retrieval for Image Suggestion
by: Nguyen, Thong, et al.
Published: (2024)

Socially Aware Music Recommendation: A Multi-Modal Graph Neural Networks for Collaborative Music Consumption and Community-Based Engagement
by: Ziaoddini, Kajwan
Published: (2025)

RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
by: Tourani, Ali, et al.
Published: (2025)

The 2nd EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
by: Fu, Junchen, et al.
Published: (2026)

Blurb-Refined Inference from Crowdsourced Book Reviews using Hierarchical Genre Mining with Dual-Path Graph Convolutions
by: Kumar, Suraj, et al.
Published: (2025)

Multimodal Music Recommendation System using LLMs
by: Kandagatla, Srikar Prabhas, et al.
Published: (2026)

Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
by: Liu, Han, et al.
Published: (2025)

PREMISE: Matching-based Prediction for Accurate Review Recommendation
by: Han, Wei, et al.
Published: (2025)

A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
by: Ganhör, Christian, et al.
Published: (2024)