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Contrastive Modality-Disentangled Learning for Multimodal Recommendation

https://doi.org/10.1145/3715876
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/0377-0427(87)90125-7openalex-snapshot
Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
inferredcites →https://doi.org/10.1016/j.eswa.2017.01.005openalex-snapshot
Preference dynamics with multimodal user-item interactions in social media recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2013.03.012openalex-snapshot
Recommender systems survey
inferredcites →https://doi.org/10.1016/j.neucom.2024.128645openalex-snapshot
A comprehensive survey on contrastive learning
inferredcites →https://doi.org/10.1016/j.neunet.2020.11.011openalex-snapshot
Bridging multimedia heterogeneity gap via Graph Representation Learning for cross-modal retrieval
inferredcites →https://doi.org/10.1080/01621459.2017.1285773openalex-snapshot
Variational Inference: A Review for Statisticians
inferredcites →https://doi.org/10.1080/03610927408827101openalex-snapshot
A dendrite method for cluster analysis
inferredcites →https://doi.org/10.1109/iccv.1995.466933openalex-snapshot
Proceedings of IEEE International Conference on Computer Vision
inferredcites →https://doi.org/10.1109/jiot.2019.2940709openalex-snapshot
Multimodal Representation Learning for Recommendation in Internet of Things
inferredcites →https://doi.org/10.1109/tit.1954.1057469openalex-snapshot
Multivariate information transmission
inferredcites →https://doi.org/10.1109/tkde.2018.2881260openalex-snapshot
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2022.3158317openalex-snapshot
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3304839openalex-snapshot
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation
inferredcites →https://doi.org/10.1109/tmm.2021.3138298openalex-snapshot
DualGNN: Dual Graph Neural Network for Multimedia Recommendation
inferredcites →https://doi.org/10.1109/tmm.2022.3187556openalex-snapshot
Self-Supervised Learning for Multimedia Recommendation
inferredcites →https://doi.org/10.1109/tmm.2022.3217449openalex-snapshot
Disentangled Multimodal Representation Learning for Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2798607openalex-snapshot
Multimodal Machine Learning: A Survey and Taxonomy
inferredcites →https://doi.org/10.1109/tpami.2018.2889774openalex-snapshot
Advances in Variational Inference
inferredcites →https://doi.org/10.1142/9789814447331_0040openalex-snapshot
MUTUAL INFORMATION RELEVANCE NETWORKS: FUNCTIONAL GENOMIC CLUSTERING USING PAIRWISE ENTROPY MEASUREMENTS
inferredcites →https://doi.org/10.1145/2740908openalex-snapshot
Proceedings of the 24th International Conference on World Wide Web
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2911451openalex-snapshot
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/2911451.2911502openalex-snapshot
Discrete Collaborative Filtering
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3240508openalex-snapshot
Proceedings of the 26th ACM international conference on Multimedia
inferredcites →https://doi.org/10.1145/3331184openalex-snapshot
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3331184.3331254openalex-snapshot
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
inferredcites →https://doi.org/10.1145/3394171openalex-snapshot
Proceedings of the 28th ACM International Conference on Multimedia
inferredcites →https://doi.org/10.1145/3397271openalex-snapshot
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3446374openalex-snapshot
Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions
inferredcites →https://doi.org/10.1145/3474085.3475259openalex-snapshot
Mining Latent Structures for Multimedia Recommendation
inferredcites →https://doi.org/10.1145/3477495openalex-snapshot
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3477495.3532012openalex-snapshot
Learning Graph-based Disentangled Representations for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3485447openalex-snapshot
Proceedings of the ACM Web Conference 2022
inferredcites →https://doi.org/10.1145/3488560openalex-snapshot
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3539597openalex-snapshot
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1145/3543507.3583251openalex-snapshot
Bootstrap Latent Representations for Multi-modal Recommendation
inferredcites →https://doi.org/10.1145/3581783openalex-snapshot
Proceedings of the 31st ACM International Conference on Multimedia
inferredcites →https://doi.org/10.1145/3581783.3611943openalex-snapshot
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
inferredcites →https://doi.org/10.1145/3581783.3612006openalex-snapshot
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning
inferredcites →https://doi.org/10.1145/3617827openalex-snapshot
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation
inferredcites →https://doi.org/10.1145/3626772openalex-snapshot
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3637528openalex-snapshot
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
inferredcites →https://doi.org/10.1145/371920openalex-snapshot
Proceedings of the 10th international conference on World Wide Web
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1147/rd.41.0066openalex-snapshot
Information Theoretical Analysis of Multivariate Correlation
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v38i8.28688openalex-snapshot
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
inferredcites →https://doi.org/10.18653/v1/d19-1openalex-snapshot
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.48550/arxiv.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
inferredcites →https://doi.org/10.48550/arxiv.1606.03657openalex-snapshot
InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
inferredcites →https://doi.org/10.48550/arxiv.1802.04942openalex-snapshot
Isolating Sources of Disentanglement in Variational Autoencoders
inferredcites →https://doi.org/10.48550/arxiv.1910.14238openalex-snapshot
Learning Disentangled Representations for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2006.09882openalex-snapshot
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
inferredcites →https://doi.org/10.48550/arxiv.2107.07502openalex-snapshot
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.2203.05406openalex-snapshot
Disentangled Multimodal Representation Learning for Recommendation
inferredcites →https://doi.org/10.52202/075280-1430openalex-snapshot
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Federated Privacy-Preserving for Cross-Domain Sequential Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-95-3349-7_32openalex-snapshot
Deep Graph Neural Point Process for Learning Temporal Interactive Networks
inferred← citeshttps://doi.org/10.1007/s10115-025-02652-7openalex-snapshot
Fused modality-enhanced graph convolutional network for multimodal recommendation
inferred← citeshttps://doi.org/10.1007/s10586-025-05684-4openalex-snapshot
Behavior-guided noise purification for multimodal graph contrastive learning recommendation model
inferred← citeshttps://doi.org/10.1007/s10660-025-10034-yopenalex-snapshot
Deep hybrid framework of BERT and knowledge graph for personalized POI recommendations in social networks
inferred← citeshttps://doi.org/10.1007/s10844-025-01018-3openalex-snapshot
Structure-activated and interest-aware multimodal recommendation method
inferred← citeshttps://doi.org/10.1007/s13735-026-00406-xopenalex-snapshot
A survey of multimodal recommender systems: methods, challenges, and future directions
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Leveraging large language models for sentiment-based POI recommendations in social networks
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Intelligent multi-modal data implementation with capsuleNet for accurate air quality index prediction
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Designing the recommendation algorithm for inheritance of intangible cultural heritage using wireless knowledge graphs and collaborative filtering
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Eliminating language bias in visual question answering with potential causality models
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Integrating BiLSTM and CNN for predicting user mobility from geotagged social media posts
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Prototype learning based hierarchical decoupling for multimodal recommendation
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Diffusion-enhanced negative sampling in multimodal contrastive learning for recommendation
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Effective prompt-wise distillation for multi-modal recommendation
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Dual-layer cross-modal alignment recommendation based on the diffusion model
inferred← citeshttps://doi.org/10.1016/j.jocs.2025.102661openalex-snapshot
Deep Link Strength Prediction: Leveraging line graph transformations and neural networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.115712openalex-snapshot
3D cross-modality cardiac image segmentation based on causality-driven contrastive learning
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Channel-wise joint disentanglement representation learning for B-mode and super-resolution ultrasound based CAD of breast cancer
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107381openalex-snapshot
IBPL: Information Bottleneck-based Prompt Learning for graph out-of-distribution detection
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Dual aggregation based joint-modal similarity hashing for cross-modal retrieval
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A transformer-based architecture for collaborative filtering modeling in personalized recommender systems
inferred← citeshttps://doi.org/10.1038/s41598-025-18665-9openalex-snapshot
DeepFusionNet for realtime classification in iotbased crossmedia art and design using multimodal deep learning
inferred← citeshttps://doi.org/10.1109/access.2025.3559204openalex-snapshot
Enhancing Hajj and Umrah Services Through Predictive Social Media Classification
inferred← citeshttps://doi.org/10.1109/access.2025.3564677openalex-snapshot
HMSTNet: A Deep Learning Multimodal Approach for Personalized English Literature Recommendations
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HealthMotionNet: Multi-Modal Feature Aggregation With Temporal Attention for Personal Exercise Health Assessment
inferred← citeshttps://doi.org/10.1109/icicc71012.2026.11637804openalex-snapshot
ATMLGCN: A Multi-modal Recommendation Method Based on Self-Attention Mechanism and Multi-graph Construction for Graph Convolutional Network
inferred← citeshttps://doi.org/10.1109/tce.2026.3674794openalex-snapshot
MMFashion+: Multimodal Federated Learning for Personalized Clothing Recommendation
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A 3 VGAE: An Attribute-Augmented Adversarial Variational Graph Autoencoder for Link Prediction
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TIRAGNN: Temporal and Implicit Relation-Aware Graph Neural Networks for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3571909openalex-snapshot
Indirect Interactions Discovering and True Negative Sampling for Multimodal Recommendation
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A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
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Linear Structure Analysis of Embeddings for Bias Disparity Reduction in Collaborative Filtering
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FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation
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CoGen: A Two-Stage Unified Multi-modal Framework for Bundle Construction via Discrete Semantics Transfer
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ATGFB-MFF: Adaptive Text-Guided Fiber Bundle Feature Fusion with LLMs for Multimodal Sentiment Analysis and Emotion Recognition in Conversations
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DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Multimodal Recommendation
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Lightweight Denoising and Aligning for Multi-modal Recommender System
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A Hybrid Deep Learning Model for E‐Commerce Recommendations: Sentiment Analysis With Autoencoders and Generative Adversarial Networks
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Research on MOOCs course recommendation system based on hybrid attention mechanism in frequency and time domain
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