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Graph Feature Fusion and Contrastive Learning for Social Recommendation

https://doi.org/10.2139/ssrn.5372679
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-89010-0_4openalex-snapshot
Overfitting, Model Tuning, and Evaluation of Prediction Performance
inferredcites →https://doi.org/10.1007/s11761-024-00409-8openalex-snapshot
Deep learning model for recommendation system using web of things based knowledge graph mining
inferredcites →https://doi.org/10.1007/s12652-020-01711-xopenalex-snapshot
A collaborative filtering recommendation algorithm based on normalization approach
inferredcites →https://doi.org/10.1016/j.eswa.2013.09.005openalex-snapshot
Facing the cold start problem in recommender systems
inferredcites →https://doi.org/10.1016/j.eswa.2018.11.003openalex-snapshot
Personalized recommendation by matrix co-factorization with tags and time information
inferredcites →https://doi.org/10.1016/j.eswa.2022.117755openalex-snapshot
Social recommendation via deep neural network-based multi-task learning
inferredcites →https://doi.org/10.1016/j.ins.2022.01.001openalex-snapshot
SocialLGN: Light graph convolution network for social recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2022.109250openalex-snapshot
Graph convolutional networks in language and vision: A survey
inferredcites →https://doi.org/10.1016/j.knosys.2022.110180openalex-snapshot
Ranking-based contrastive loss for recommendation systems
inferredcites →https://doi.org/10.1016/j.knosys.2023.110809openalex-snapshot
Sequential ensemble learning for next item recommendation
inferredcites →https://doi.org/10.1016/j.neucom.2015.11.059openalex-snapshot
A survey of transfer learning for collaborative recommendation with auxiliary data
inferredcites →https://doi.org/10.1016/j.neucom.2021.10.050openalex-snapshot
Multi-perspective social recommendation method with graph representation learning
inferredcites →https://doi.org/10.1109/cvidl62147.2024.10603671openalex-snapshot
Multimodal self supervised adversarial graph attention neural network
inferredcites →https://doi.org/10.1109/icomet48670.2020.9073836openalex-snapshot
A Recommendation System for Functional Features to aid Requirements Reuse
inferredcites →https://doi.org/10.1109/tii.2020.2986316openalex-snapshot
A Deep Graph Neural Network-Based Mechanism for Social Recommendations
inferredcites →https://doi.org/10.1109/tkde.2020.3017489openalex-snapshot
Social Recommendation with Characterized Regularization
inferredcites →https://doi.org/10.1109/tkde.2020.3048414openalex-snapshot
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tmm.2023.3295740openalex-snapshot
Personalized Representation With Contrastive Loss for Recommendation Systems
inferredcites →https://doi.org/10.1109/tnnls.2021.3071392openalex-snapshot
An L 1-and-L 2-Norm-Oriented Latent Factor Model for Recommender Systems
inferredcites →https://doi.org/10.1109/tpami.2016.2605085openalex-snapshot
Social Collaborative Filtering by Trust
inferredcites →https://doi.org/10.1145/1864708.1864736openalex-snapshot
A matrix factorization technique with trust propagation for recommendation in social networks
inferredcites →https://doi.org/10.1145/1935826.1935877openalex-snapshot
Recommender systems with social regularization
inferredcites →https://doi.org/10.1145/2661829.2661998openalex-snapshot
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331214openalex-snapshot
A Neural Influence Diffusion Model for Social Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467338openalex-snapshot
Initialization Matters
inferredcites →https://doi.org/10.1145/3477495.3531927openalex-snapshot
A Review-aware Graph Contrastive Learning Framework for Recommendation
inferredcites →https://doi.org/10.1145/3510413openalex-snapshot
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3539597.3570472openalex-snapshot
DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
inferredcites →https://doi.org/10.1145/3580305.3599768openalex-snapshot
Adaptive Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3627673.3679553openalex-snapshot
A Power Method to Alleviate Over-smoothing for Recommendation
inferredcites →https://doi.org/10.1145/3637528.3672056openalex-snapshot
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
inferredcites →https://doi.org/10.1145/3694784openalex-snapshot
A Survey on Recommender Systems Using Graph Neural Network
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