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Graph Convolutional Matrix Completion via Relation Reconstruction

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What this work says

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

inferredcites →https://doi.org/10.1109/icassp34228.2018openalex-snapshot

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

inferredcites →https://doi.org/10.1145/2184319.2184343openalex-snapshot

Exact matrix completion via convex optimization

inferredcites →https://doi.org/10.24963/ijcai.2017/331openalex-snapshot

Learning User Dependencies for Recommendation

inferredcites →https://doi.org/10.24963/ijcai.2019/537openalex-snapshot

PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation

inferredcites →https://doi.org/10.24963/ijcai.2020/355openalex-snapshot

Learning Personalized Itemset Mapping for Cross-Domain Recommendation

inferredcites →https://doi.org/10.48550/arxiv.1408.1717openalex-snapshot

Matrix Completion on Graphs

inferredcites →https://doi.org/10.48550/arxiv.1704.06803openalex-snapshot

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

inferredcites →https://doi.org/10.5281/zenodo.1318390openalex-snapshot

Advances In Deep Learning On Graphs (Gsp'18 Workshop)

What points at this work

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

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Interplay of LDA-EMD for Enhanced Product Recommendation Strategy

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MDGCL: Message Dropout Graph Contrastive Learning for Recommendation

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V-BERT4Rec: Enhanced sequential recommendation with multi-modal visual information

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Recent trends in recommender systems: a survey

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HyGate-GCN: Hybrid-Gate-Based Graph Convolutional Networks with dynamical ratings estimation for personalized POI recommendation

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Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction

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Interest-Aware Contrastive-Learning-Based GCN for Recommendation

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Predicting Building Types and Functions at Transnational Scale

inferred← citeshttps://doi.org/10.1109/epce58798.2023.00038openalex-snapshot

Recommendation Model of Graph Neural Network Based on Neighbor Aware Interaction

inferred← citeshttps://doi.org/10.1109/icnisc60562.2023.00036openalex-snapshot

A Survey on Graph Neural Networks Method under Social Recommendation

inferred← citeshttps://doi.org/10.1109/mci.2024.3363973openalex-snapshot

Hierarchical Bipartite Graph Convolutional Network for Recommendation

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A Multiplex Hypergraph Attribute-Based Graph Collaborative Filtering for Cold-Start POI Recommendation

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Graph Contrastive Learning for Multi-Behavior Recommender System

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Decentralized Graph Neural Network for Privacy-Preserving Recommendation

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MGTA: Multi-scale Graph Tokens Alignment for CTR Prediction via Pre-trained Language Models

inferred← citeshttps://doi.org/10.1145/3797878openalex-snapshot

Dynamic De-Redundancy and Modality-Guided Feature De-Noisy for Multimodal Recommendation

inferred← citeshttps://doi.org/10.1145/3805622.3810751openalex-snapshot

PAMS-GNN: Popularity-Aware Multimodal Semantic GraphNeural Networks for Recommendation

inferred← citeshttps://doi.org/10.20868/upm.thesis.81502openalex-snapshot

Recomendación a grupos de usuarios usando técnicas de aprendizaje profundo

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Improving Graph Collaborative Filtering from the Perspective of User–Item Interaction Directly Using Contrastive Learning

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Enriching large language models with semantic lexicons and analogies

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