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Dual Representation Propagation Comparative Learning for Recommendations

https://doi.org/10.2139/ssrn.4894952
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.compeleceng.2024.109213openalex-extracted
Dual-view multi-modal contrastive learning for graph-based recommender systems
inferredcites →https://doi.org/10.1016/j.procs.2024.04.041openalex-extracted
An autoencoder-based deep learning model for solving the sparsity issues of Multi-Criteria Recommender System
inferredcites →https://doi.org/10.1109/icde53745.2022.00099openalex-extracted
Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/2740908.2742726openalex-extracted
AutoRec
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-extracted
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-extracted
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3357384.3357895openalex-extracted
BERT4Rec
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-extracted
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-extracted
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-extracted
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-extracted
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462972openalex-extracted
Graph Meta Network for Multi-Behavior Recommendation
inferredcites →https://doi.org/10.1145/3423322openalex-extracted
Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network
inferredcites →https://doi.org/10.1145/3442381.3449971openalex-extracted
HDMI: High-order Deep Multiplex Infomax
inferredcites →https://doi.org/10.1145/3459637.3481952openalex-extracted
Self-supervised Learning for Large-scale Item Recommendations
inferredcites →https://doi.org/10.1145/3477495.3531937openalex-extracted
Are Graph Augmentations Necessary?
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-extracted
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512090openalex-extracted
Intent Contrastive Learning for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512104openalex-extracted
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
inferredcites →https://doi.org/10.1145/3488560.3498527openalex-extracted
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
inferredcites →https://doi.org/10.1145/3488560.3501396openalex-extracted
Graph Neural Networks for Recommender System
inferredcites →https://doi.org/10.1145/3534678.3539342openalex-extracted
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3534678.3539482openalex-extracted
Multiplex Heterogeneous Graph Convolutional Network
inferredcites →https://doi.org/10.1145/3535101openalex-extracted
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3539618.3591723openalex-extracted
Graph Transformer for Recommendation
inferredcites →https://doi.org/10.1145/3543507.3583336openalex-extracted
Automated Self-Supervised Learning for Recommendation
inferredcites →https://doi.org/10.1145/3580305.3599768openalex-extracted
Adaptive Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i01.5330openalex-extracted
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
inferredcites →https://doi.org/10.1609/aaai.v35i5.16534openalex-extracted
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/592openalex-extracted
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-extracted
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1706.02263openalex-extracted
Graph Convolutional Matrix Completion
inferredcites →https://doi.org/10.48550/arxiv.1706.03762openalex-extracted
Attention Is All You Need
inferredcites →https://doi.org/10.48550/arxiv.1810.04805openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.1910.14238openalex-extracted
Learning Disentangled Representations for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2004.11362openalex-extracted
Supervised Contrastive Learning
inferredcites →https://doi.org/10.48550/arxiv.2101.01317openalex-extracted
Contrastive Learning for Recommender System
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1904.06690openalex-snapshot
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
inferredcites →https://doi.org/10.48550/arxiv.2002.02126openalex-snapshot
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2112.08679openalex-snapshot
Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for Recommendation
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