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Graph Neural Pre-training for Recommendation with Side Information
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-16145-3_28openalex-snapshot
A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder
inferredcites →https://doi.org/10.1007/978-3-319-93417-4_38openalex-snapshot
Modeling Relational Data with Graph Convolutional Networks
inferredcites →https://doi.org/10.1007/s11042-020-09199-5openalex-snapshot
Capsmf: a novel product recommender system using deep learning based text analysis model
inferredcites →https://doi.org/10.1007/s11704-021-0261-8openalex-snapshot
Graph convolution machine for context-aware recommender system
inferredcites →https://doi.org/10.1016/j.eswa.2021.114795openalex-snapshot
Frog-GNN: Multi-perspective aggregation based graph neural network for few-shot text classification
inferredcites →https://doi.org/10.1016/j.ins.2019.09.007openalex-snapshot
Attention-based context-aware sequential recommendation model
inferredcites →https://doi.org/10.1093/bib/bbab513openalex-snapshot
LR-GNN: a graph neural network based on link representation for predicting molecular associations
inferredcites →https://doi.org/10.1109/icdm.2001.989492openalex-snapshot
Proceedings 2001 IEEE International Conference on Data Mining
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.2983409openalex-snapshot
Multi-Task Learning for Recommendation Over Heterogeneous Information Network
inferredcites →https://doi.org/10.1109/tkde.2020.3033673openalex-snapshot
Enhancing Social Recommendation With Adversarial Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/2365952.2365983openalex-snapshot
Sparse linear methods with side information for top-n recommendations
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3158369openalex-snapshot
Facial Expression Analysis under Partial Occlusion
inferredcites →https://doi.org/10.1145/3270323.3270326openalex-snapshot
A Collective Variational Autoencoder for Top-N Recommendation with Side Information
inferredcites →https://doi.org/10.1145/3366423openalex-snapshot
Proceedings of The Web Conference 2020
inferredcites →https://doi.org/10.1145/3383313.3412488openalex-snapshot
Neural Collaborative Filtering vs. Matrix Factorization Revisited
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462941openalex-snapshot
xLightFM: Extremely Memory-Efficient Factorization Machine
inferredcites →https://doi.org/10.1145/3442381openalex-snapshot
Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3447548.3467340openalex-snapshot
Socially-Aware Self-Supervised Tri-Training for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2003.09086openalex-snapshot
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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CSA4Rec: Collaborative Signals Augmentation Model Based on GCN for Recommendation
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Mitigating Popularity Bias for Multi-view Group Recommendation
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A survey on popularity bias in recommender systems
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Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation
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Enhancing recommendation with adaptive negative sampling and graph adjacency matrix optimization
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A graph attention network with contrastive learning for temporal review-based recommendations
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Causal intervention for feedback information in fairness recommendation
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Gender biases within Artificial Intelligence and ChatGPT: Evidence, Sources of Biases and Solutions
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.113839openalex-snapshot
Bifurcated adversarial networks for intersectional fairness in graph neural network recommendations
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2025.103578openalex-snapshot
: Dynamic User-oriented re-Ranking calibration strategy for popularity bias treatment of recommendation algorithms
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LLM supporting knowledge tracing leveraging global subject and student specific knowledge graphs
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Multimodal recommender systems: A survey of representation, modeling, and optimization
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103456openalex-snapshot
Dual disentanglement of user–item interaction for recommendation with causal embedding
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Enhancing job recommendations with LLM-based resume completion: A behavior-denoised alignment approach
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114730openalex-snapshot
Generalised tensor-based hypergraph attention network
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107695openalex-snapshot
Adversarial regularized diffusion model for fair recommendations
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107872openalex-snapshot
Price-aware debiased learning model for recommendation
inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200294openalex-snapshot
Online English teaching resource recommendation method design based on LightGCN CSCM
inferred← citeshttps://doi.org/10.1016/j.sasc.2025.200364openalex-snapshot
User preference information recommendation based on DCGNN and GNNPK algorithms
inferred← citeshttps://doi.org/10.1093/bib/bbad317openalex-snapshot
Sequence pre-training-based graph neural network for predicting lncRNA-miRNA associations
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A Systematic Review of the Impact of Auxiliary Information on Recommender Systems
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MedNote BERT: Modeling Medical Notes and Predicting Drug-Disease Interactions
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EDTE: Dynamic Topic–Sentiment Cross-Attentive Fusion for Movie Recommendation
inferred← citeshttps://doi.org/10.1109/i-coste63786.2024.11024658openalex-snapshot
Semantic Segmentation of Food Through Deep Learning: A Case Study
inferred← citeshttps://doi.org/10.1109/iccvdm66874.2025.11290669openalex-snapshot
Research on Consumer Behavior Pattern Mining and Personalized Recommendation Algorithm Based on Graph Neural Network
inferred← citeshttps://doi.org/10.1109/icimcis63449.2024.10956674openalex-snapshot
Fairness and Bias in E-commerce Recommendation Systems: A Literature Review
inferred← citeshttps://doi.org/10.1109/isctech63666.2024.10845532openalex-snapshot
VCFGAN: A Two-stage Collaborative Filtering Framework based on Variational Autoencoders and Generative Adversarial Networks
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GBA-Net: A Multi-Task Medical Image Classification Model Based on Global Biaxial Attention
inferred← citeshttps://doi.org/10.1109/tcss.2024.3491800openalex-snapshot
Counterfactual Music Recommendation for Mitigating Popularity Bias
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3299929openalex-snapshot
CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation
inferred← citeshttps://doi.org/10.1109/upwiecon67212.2025.11390170openalex-snapshot
Graph Rewiring Using Explicit Rating and Bidirectional Trust
inferred← citeshttps://doi.org/10.1145/3539618.3591972openalex-snapshot
DeviceGPT: A Generative Pre-Training Transformer on the Heterogenous Graph for Internet of Things
inferred← citeshttps://doi.org/10.1145/3539618.3591994openalex-snapshot
Graph Collaborative Signals Denoising and Augmentation for Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3608806openalex-snapshot
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
inferred← citeshttps://doi.org/10.1145/3618107openalex-snapshot
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1145/3637528.3672056openalex-snapshot
Consistency and Discrepancy-Based Contrastive Tripartite Graph Learning for Recommendations
inferred← citeshttps://doi.org/10.1145/3660852openalex-snapshot
Unifying Graph Neural Networks with a Generalized Optimization Framework
inferred← citeshttps://doi.org/10.1145/3670407openalex-snapshot
ANAGL: A Noise-Resistant and Anti-Sparse Graph Learning for Micro-Video Recommendation
inferred← citeshttps://doi.org/10.1145/3675249.3675280openalex-snapshot
Construction of an Education Innovation Network Management System under Artificial Intelligence Technology
inferred← citeshttps://doi.org/10.1145/3687481openalex-snapshot
Cluster-Based Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3689430openalex-snapshot
Enhancing Graph Neural Networks via Memorized Global Information
inferred← citeshttps://doi.org/10.1145/3724392openalex-snapshot
Uniform Graph Pre-training and Prompting for Transferable Recommendation
inferred← citeshttps://doi.org/10.1145/3828836.3828936openalex-snapshot
The Impact of Personalized Recommendation Strategy Based on Simulated Annealing and Latent Factor Model on Consumer Decision-Making
inferred← citeshttps://doi.org/10.1162/tacl_a_00619openalex-snapshot
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems
inferred← citeshttps://doi.org/10.1186/s12859-023-05441-7openalex-snapshot
HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction
inferred← citeshttps://doi.org/10.1287/isre.2023.0100openalex-snapshot
Mitigating Exposure Bias for Recommendations in Physical Spaces: An Unbiased Pairwise Ranking Approach Using Spatial Movement
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TP-GCL: graph contrastive learning from the tensor perspective
inferred← citeshttps://doi.org/10.6084/m9.figshare.26616532openalex-snapshot
Additional file 1 of HMCDA: a novel method based on the heterogeneous graph neural network and metapath for circRNA-disease associations prediction
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