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MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation

https://doi.org/10.1145/3762665
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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/j.eswa.2024.124497openalex-snapshot
Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2022.109282openalex-snapshot
CGSNet: Contrastive Graph Self-Attention Network for Session-based Recommendation
inferredcites →https://doi.org/10.1016/j.patcog.2024.111129openalex-snapshot
Enhancing robust VQA via contrastive and self-supervised learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/icde53745.2022.00099openalex-snapshot
Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.3033673openalex-snapshot
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tkde.2023.3288135openalex-snapshot
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1109/tmm.2021.3111487openalex-snapshot
Multi-Modal Variational Graph Auto-Encoder for Recommendation Systems
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.2023.3250087openalex-snapshot
Contrastive Multi-Level Graph Neural Networks for Session-Based Recommendation
inferredcites →https://doi.org/10.1109/tmm.2024.3352397openalex-snapshot
CDCM: ChatGPT-Aided Diversity-Aware Causal Model for Interactive Recommendation
inferredcites →https://doi.org/10.1109/tpami.2022.3182052openalex-snapshot
HGNN + : General Hypergraph Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2022.3203630openalex-snapshot
Contrastive Learning with Stronger Augmentations
inferredcites →https://doi.org/10.1137/1.9781611976700.10openalex-snapshot
Session-based Recommendation with Hypergraph Attention Networks
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/3077136.3080797openalex-snapshot
Attentive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3292500.3330989openalex-snapshot
KGAT
inferredcites →https://doi.org/10.1145/3308558.3313417openalex-snapshot
Knowledge Graph Convolutional Networks for Recommender Systems
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331254openalex-snapshot
Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411954openalex-snapshot
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3343031.3351034openalex-snapshot
MMGCN
inferredcites →https://doi.org/10.1145/3357384.3358010openalex-snapshot
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394171.3413556openalex-snapshot
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401133openalex-snapshot
Next-item Recommendation with Sequential Hypergraphs
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449844openalex-snapshot
Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482264openalex-snapshot
How Powerful is Graph Convolution for Recommendation?
inferredcites →https://doi.org/10.1145/3459637.3482351openalex-snapshot
Hyperbolic Hypergraphs for Sequential Recommendation
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/10.1145/3477495.3531794openalex-snapshot
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531935openalex-snapshot
An Attribute-Driven Mirror Graph Network for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-snapshot
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3477495.3532025openalex-snapshot
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
inferredcites →https://doi.org/10.1145/3477495.3532027openalex-snapshot
Multi-modal Graph Contrastive Learning for Micro-video Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-snapshot
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512090openalex-snapshot
Intent Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3494523openalex-snapshot
A Survey of Machine Learning for Computer Architecture and Systems
inferredcites →https://doi.org/10.1145/3534678.3539342openalex-snapshot
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3543507.3583206openalex-snapshot
Multi-Modal Self-Supervised Learning for Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583251openalex-snapshot
Bootstrap Latent Representations for Multi-modal Recommendation
inferredcites →https://doi.org/10.1145/3580305.3599400openalex-snapshot
Knowledge Graph Self-Supervised Rationalization for Recommendation
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/10.1145/3583780.3615054openalex-snapshot
Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph
inferredcites →https://doi.org/10.1145/3616855.3635814openalex-snapshot
SSLRec: A Self-Supervised Learning Framework for Recommendation
inferredcites →https://doi.org/10.1145/3627158openalex-snapshot
Contrastive Self-supervised Learning in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3639706openalex-snapshot
Privacy-preserving Multi-source Cross-domain Recommendation Based on Knowledge Graph
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.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013558openalex-snapshot
Hypergraph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/547openalex-snapshot
Graph Contextualized Self-Attention Network for Session-based Recommendation

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s44443-026-01156-wopenalex-snapshot
DualCL: Dual contrastive learning for hypergraphs
inferred← citeshttps://doi.org/10.1016/j.eij.2026.100970openalex-snapshot
CDHMb: Dynamic hypergraph learning with hierarchical contrastive learning for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130763openalex-snapshot
Prototype learning based hierarchical decoupling for multimodal recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132214openalex-snapshot
Diffusion-enhanced negative sampling in multimodal contrastive learning for recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116437openalex-snapshot
Cross-modal Prompt Enhanced Hypergraph Mixture-of-Experts for Multimodal Emotion Recognition in Conversations
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.116864openalex-snapshot
CoMAG: Collaborative GNN–LLM learning for multimodal attributed graphs
inferred← citeshttps://doi.org/10.1109/iccraids67816.2026.11519682openalex-snapshot
A Focused Review of Multimodal CTR Prediction for Cold-Start Recommendation
inferred← citeshttps://doi.org/10.1109/icipai70034.2026.11605452openalex-snapshot
A Short-Video Recommendation Algorithm Based on Adversarial Denoising and Dual Contrastive Learning
inferred← citeshttps://doi.org/10.1109/icoecit68303.2026.11497913openalex-snapshot
Context Meets Modality: Deep Learning Innovations for Next-Generation Recommendation Systems
inferred← citeshttps://doi.org/10.1109/tnse.2026.3733704openalex-snapshot
SIHAN: Semantic-Instance Guided Hypergraph Attention Network With Dual-View Contrastive Learning for Heterogeneous Graph
inferred← citeshttps://doi.org/10.1145/3805712.3809642openalex-snapshot
DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Multimodal Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809863openalex-snapshot
From Raw Features to Effective Embeddings: A Three-Stage Approach for Multimodal Recipe Recommendation
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