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Towards Robust Neural Graph Collaborative Filtering via Structure Denoising and Embedding Perturbation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-46146-9_49openalex-snapshot
Promoting Recommendations: An Attack on Collaborative Filtering
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Introduction to Recommender Systems Handbook
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Shilling attacks against recommender systems: a comprehensive survey
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1137/1.9781611976700openalex-snapshot
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)
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Video suggestion and discovery for youtube
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Pairwise preference regression for cold-start recommendation
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Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
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On caption bias in interleaving experiments
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Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2835776.2835837openalex-snapshot
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3219819.3220078openalex-snapshot
Adversarial Attacks on Neural Networks for Graph Data
inferredcites →https://doi.org/10.1145/3298689.3347031openalex-snapshot
Adversarial attacks on an oblivious recommender
inferredcites →https://doi.org/10.1145/3298689.3347037openalex-snapshot
Leveraging post-click feedback for content recommendations
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411884openalex-snapshot
Attacking Recommender Systems with Augmented User Profiles
inferredcites →https://doi.org/10.1145/3340531.3411905openalex-snapshot
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1145/3340531.3412095openalex-snapshot
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3366423.3380112openalex-snapshot
Graph Representation Learning via Graphical Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3382764openalex-snapshot
Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403170openalex-snapshot
Handling Information Loss of Graph Neural Networks for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401098openalex-snapshot
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3397271.3401155openalex-snapshot
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462868openalex-snapshot
Structured Graph Convolutional Networks with Stochastic Masks for Recommender Systems
inferredcites →https://doi.org/10.1145/3404835.3462928openalex-snapshot
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3404835.3462962openalex-snapshot
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
inferredcites →https://doi.org/10.1145/3404835.3462968openalex-snapshot
Sequential Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3437963.3441800openalex-snapshot
Denoising Implicit Feedback for Recommendation
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/10.1145/3459637.3482016openalex-snapshot
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
inferredcites →https://doi.org/10.1145/3474085.3475446openalex-snapshot
Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions
inferredcites →https://doi.org/10.1145/3477495.3532059openalex-snapshot
Self-Guided Learning to Denoise for Robust Recommendation
inferredcites →https://doi.org/10.1145/3485447openalex-snapshot
Proceedings of the ACM Web Conference 2022
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1146/annurev.soc.27.1.415openalex-snapshot
Birds of a Feather: Homophily in Social Networks
inferredcites →https://doi.org/10.1155/2009/421425openalex-snapshot
A Survey of Collaborative Filtering Techniques
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.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1807.03748openalex-snapshot
Representation Learning with Contrastive Predictive Coding
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2673openalex-snapshot
PCG: A joint framework of graph collaborative filtering for bug triaging
inferred← citeshttps://doi.org/10.1007/978-981-95-7251-9_5openalex-snapshot
GACS: Graph Contrastive Learning with Augmented Collaborative Signals for Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-5572-1_9openalex-snapshot
Robust Graph Recommendation via Noise-Aware Adversarial Perturbation
inferred← citeshttps://doi.org/10.1007/s10844-025-00930-yopenalex-snapshot
Self-training dual-network for denoising federated recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125118openalex-snapshot
Distribution-aware hybrid noise augmentation in graph contrastive learning for recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125423openalex-snapshot
When latent features meet side information: A preference relation based graph neural network for collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121732openalex-snapshot
NFGCL: A negative-sampling-free graph contrastive learning framework for recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103962openalex-snapshot
Enhancing robustness in implicit feedback recommender systems with subgraph contrastive learning
inferred← citeshttps://doi.org/10.1016/j.is.2025.102625openalex-snapshot
Robust Graph Contrastive Learning for recommender systems: Addressing data sparsity and noise
inferred← citeshttps://doi.org/10.1016/j.is.2026.102699openalex-snapshot
Deep learning approaches for handling noisy data in collaborative filtering: A survey
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113570openalex-snapshot
DAPEW: Towards robust collaborative filtering with graph contrastive learning
inferred← citeshttps://doi.org/10.1016/j.knosys.2026.117061openalex-snapshot
Intent augmentation contrastive learning for Session-based Social Recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127547openalex-snapshot
Joint contrastive learning of structural and semantic for graph collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130469openalex-snapshot
A novel noise reduction and interaction enrichment recommendation model via contrastive learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132026openalex-snapshot
FIGNNCF: Feature integrated graph neural network based collaborative filtering for sequential recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132283openalex-snapshot
Enhancing graph contrastive learning with knowledge graph embedding for recommendation
inferred← citeshttps://doi.org/10.1038/s41598-025-10621-xopenalex-snapshot
Dual-level graph contrastive collaborative filtering
inferred← citeshttps://doi.org/10.1093/bib/bbaf528openalex-snapshot
Denoising spatially resolved transcriptomics with consistency of heterogeneous spatial coordinates, transcription, and morphology
inferred← citeshttps://doi.org/10.1109/access.2025.3552102openalex-snapshot
Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback
inferred← citeshttps://doi.org/10.1109/access.2026.3735406openalex-snapshot
Dual-Space Gated Fusion Adaptive Denoising and Diversity-Balanced Recommendation
inferred← citeshttps://doi.org/10.1109/aiccsa66935.2025.11315409openalex-snapshot
Efficient Graph-Transformer-based Neural Collaborative Filtering for Candidate Preselection
inferred← citeshttps://doi.org/10.1109/cbd69312.2025.00045openalex-snapshot
Adaptive Dual Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/cw68232.2025.00053openalex-snapshot
Dual-Phase Graph Refinement: Pruning Noisy Edges and Augmenting Tail Links for Recommendation
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10448250openalex-snapshot
Hypergraph-Enhanced Self-Supervised Robust Graph Learning for Social Recommendation
inferred← citeshttps://doi.org/10.1109/icws72778.2026.00043openalex-snapshot
Dual-Diffusion Service Recommendation with External Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/nnice58320.2023.10105711openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/qrs65678.2025.00031openalex-snapshot
Federated Non-IID Graph Learning Based on Graph Optimization
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3453765openalex-snapshot
Denoised Graph Collaborative Filtering via Neighborhood Similarity and Dynamic Thresholding
inferred← citeshttps://doi.org/10.1109/tcds.2023.3338614openalex-snapshot
Improving Graph Collaborative Filtering via Spike Signal Embedding Perturbation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3529706openalex-snapshot
Dual-Domain Collaborative Denoising for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3539854openalex-snapshot
GGDHSCL: A Graph Generative Diffusion With Hard Negative Sampling Contrastive Learning Recommendation Method
inferred← citeshttps://doi.org/10.1109/tcss.2025.3580138openalex-snapshot
Improving Representation Alignment and Uniformity With Siamese Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2023.3288135openalex-snapshot
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1142/s0129183125420161openalex-snapshot
Transforming recommendation method based on contrastive learning with hard negative sampling
inferred← citeshttps://doi.org/10.1145/3579995openalex-snapshot
Trustworthy Recommendation and Search: Introduction to the Special Issue - Part 1
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Active Interactive Labelling Massive Samples for Object Detection
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Simulating Human Visual System Based on Vision Transformer
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Enhanced Transformer Interaction Components for Human-Object Interaction Detection
inferred← citeshttps://doi.org/10.1145/3626772.3657684openalex-snapshot
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3627158openalex-snapshot
Contrastive Self-supervised Learning in Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1145/3637528.3671661openalex-snapshot
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3637528.3671692openalex-snapshot
Double Correction Framework for Denoising Recommendation
inferred← citeshttps://doi.org/10.1145/3640457.3688120openalex-snapshot
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
inferred← citeshttps://doi.org/10.1145/3648612openalex-snapshot
Improving Semi-Supervised Text Classification with Dual Meta-Learning
inferred← citeshttps://doi.org/10.1145/3690407.3690509openalex-snapshot
Research on Labeling System for Radio and Television Intelligent Recommendation System
inferred← citeshttps://doi.org/10.1145/3696410.3714932openalex-snapshot
Personalized Denoising Implicit Feedback for Robust Recommender System
inferred← citeshttps://doi.org/10.1145/3703156openalex-snapshot
Variational Type Graph Autoencoder for Denoising on Event Recommendation
inferred← citeshttps://doi.org/10.1145/3706632openalex-snapshot
Denoising Heterogeneous Graph Pre-training Framework for Recommendation
inferred← citeshttps://doi.org/10.1145/3711896.3737127openalex-snapshot
Shapley Value-driven Data Pruning for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3718751.3718852openalex-snapshot
Research on Intelligent Recommendation System for Radio and Television
inferred← citeshttps://doi.org/10.1145/3722553openalex-snapshot
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
inferred← citeshttps://doi.org/10.1145/3728464openalex-snapshot
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering
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Causality-Inspired Fair Representation Learning for Multimodal Recommendation
inferred← citeshttps://doi.org/10.1145/3746252.3761342openalex-snapshot
NR-GCF: Graph Collaborative Filtering with Improved Noise Resistance
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A Comprehensive Survey on Self-Supervised Learning for Recommendation
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Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation
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Robust Recommender System: A Survey and Future Directions
inferred← citeshttps://doi.org/10.1145/3768319openalex-snapshot
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion
inferred← citeshttps://doi.org/10.1145/3771925openalex-snapshot
A Comprehensive Survey on Retrieval Methods in Recommender Systems
inferred← citeshttps://doi.org/10.1145/3805712.3809553openalex-snapshot
Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
inferred← citeshttps://doi.org/10.1145/3839592.3839633openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3847657openalex-snapshot
Lightweight Denoising and Aligning for Multi-modal Recommender System
inferred← citeshttps://doi.org/10.1177/14727978251364442openalex-snapshot
Library resource recommendation integrating collaborative filtering and association rules
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ДОСЛІДЖЕННЯ ЕФЕКТИВНОСТІ КОНКАТЕНОВАНИХ ВЕКТОРІВ ВИЗНАЧЕННЯ ОСОБИ
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МУЛЬТИАСПЕКТНІСТЬ ТА CТРАТЕГІЧНЕ ПЛАНУВАННЯ ПРИ СТВОРЕНІ БАГАТОЦІЛЬОВИХ МОДЕЛЕЙ ОЦІНКИ ЯКОСТІ ПРОГРАМНИХ СИСТЕМ
inferred← citeshttps://doi.org/10.2298/csis230522067gopenalex-snapshot
FSASA: Sequential recommendation based on fusing session-aware models and self-attention networks
inferred← citeshttps://doi.org/10.32657/10356/179298openalex-snapshot
Enhancing recommender systems via data augmentation
inferred← citeshttps://doi.org/10.3390/bdcc8040036openalex-snapshot
From Traditional Recommender Systems to GPT-Based Chatbots: A Survey of Recent Developments and Future Directions
inferred← citeshttps://doi.org/10.3390/electronics14010142openalex-snapshot
A Learning Resource Recommendation Method Based on Graph Contrastive Learning
inferred← citeshttps://doi.org/10.3390/math13020302openalex-snapshot
Graph-Based Feature Crossing to Enhance Recommender Systems
inferred← citeshttps://doi.org/10.3390/technologies13050181openalex-snapshot
Using Prediction Confidence Factors to Enhance Collaborative Filtering Recommendation Quality
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