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Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation

https://doi.org/10.1145/3630259
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-59419-0_35openalex-snapshot
Cross-Domain Recommendation with Adversarial Examples
inferredcites →https://doi.org/10.1007/978-3-031-00126-0_22openalex-snapshot
Deep Graph Mutual Learning for Cross-domain Recommendation
inferredcites →https://doi.org/10.1007/s00521-021-06573-8openalex-snapshot
Poisoning attacks against knowledge graph-based recommendation systems using deep reinforcement learning
inferredcites →https://doi.org/10.1007/s10489-021-03136-1openalex-snapshot
Explainable mutual fund recommendation system developed based on knowledge graph embeddings
inferredcites →https://doi.org/10.1016/j.eswa.2021.116311openalex-snapshot
Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering
inferredcites →https://doi.org/10.1016/j.knosys.2021.106948openalex-snapshot
Deep sparse autoencoder prediction model based on adversarial learning for cross-domain recommendations
inferredcites →https://doi.org/10.1109/cogmi52975.2021.00026openalex-snapshot
Pre-training Graph Neural Network for Cross Domain Recommendation
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00078openalex-snapshot
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
inferredcites →https://doi.org/10.1109/icde51399.2021.00140openalex-snapshot
Attacking Black-box Recommendations via Copying Cross-domain User Profiles
inferredcites →https://doi.org/10.1109/icde53745.2022.00211openalex-snapshot
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
inferredcites →https://doi.org/10.1109/tkde.2021.3074395openalex-snapshot
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations
inferredcites →https://doi.org/10.1109/tkde.2021.3090866openalex-snapshot
Self-supervised Learning: Generative or Contrastive
inferredcites →https://doi.org/10.1109/tkde.2021.3132953openalex-snapshot
A Deep Dual Adversarial Network for Cross-Domain Recommendation
inferredcites →https://doi.org/10.1145/3073565openalex-snapshot
Cross Domain Recommender Systems
inferredcites →https://doi.org/10.1145/3269206.3271684openalex-snapshot
CoNet
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3411954openalex-snapshot
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
inferredcites →https://doi.org/10.1145/3340531.3412012openalex-snapshot
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
inferredcites →https://doi.org/10.1145/3357384.3357925openalex-snapshot
AutoInt
inferredcites →https://doi.org/10.1145/3357384.3358116openalex-snapshot
Data Poisoning Attacks on Cross-domain Recommendation
inferredcites →https://doi.org/10.1145/3357384.3358166openalex-snapshot
Cross-Domain Recommendation via Preference Propagation GraphNet
inferredcites →https://doi.org/10.1145/3366423.3379992openalex-snapshot
Practical Data Poisoning Attack against Next-Item Recommendation
inferredcites →https://doi.org/10.1145/3366423.3380098openalex-snapshot
Reinforced Negative Sampling over Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403168openalex-snapshot
GCC
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401177openalex-snapshot
Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems
inferredcites →https://doi.org/10.1145/3397271.3401264openalex-snapshot
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3463010openalex-snapshot
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users
inferredcites →https://doi.org/10.1145/3437963.3441800openalex-snapshot
Denoising Implicit Feedback for Recommendation
inferredcites →https://doi.org/10.1145/3442201openalex-snapshot
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network
inferredcites →https://doi.org/10.1145/3442381.3449802openalex-snapshot
Graph Contrastive Learning with Adaptive Augmentation
inferredcites →https://doi.org/10.1145/3447682openalex-snapshot
Trust Prediction for Online Social Networks with Integrated Time-Aware Similarity
inferredcites →https://doi.org/10.1145/3459637.3482092openalex-snapshot
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
inferredcites →https://doi.org/10.1145/3464302openalex-snapshot
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation
inferredcites →https://doi.org/10.1145/3475768openalex-snapshot
Multi-interest Diversification for End-to-end Sequential Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532058openalex-snapshot
Hypergraph Contrastive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512192openalex-snapshot
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation
inferredcites →https://doi.org/10.1145/3488560.3498392openalex-snapshot
Personalized Transfer of User Preferences for Cross-domain Recommendation
inferredcites →https://doi.org/10.1145/3490479openalex-snapshot
Collaborative Graph Learning for Session-based Recommendation
inferredcites →https://doi.org/10.1145/3511019openalex-snapshot
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3512352openalex-snapshot
Gray-Box Shilling Attack: An Adversarial Learning Approach
inferredcites →https://doi.org/10.1145/3522673openalex-snapshot
Sequential Recommendation with Multiple Contrast Signals
inferredcites →https://doi.org/10.1145/3522762openalex-snapshot
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation
inferredcites →https://doi.org/10.1145/3532192openalex-snapshot
Modeling Cross-session Information with Multi-interest Graph Neural Networks for the Next-item Recommendation
inferredcites →https://doi.org/10.1145/3572835openalex-snapshot
Disentangled Representations Learning for Multi-target Cross-domain Recommendation
inferredcites →https://doi.org/10.1145/3580594openalex-snapshot
Debiased Recommendation with User Feature Balancing
inferredcites →https://doi.org/10.1145/3582562openalex-snapshot
Reinforced PU-learning with Hybrid Negative Sampling Strategies for Recommendation
inferredcites →https://doi.org/10.1145/564376.564421openalex-snapshot
Methods and metrics for cold-start recommendations
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.24963/ijcai.2022/327openalex-snapshot
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach
inferredcites →https://doi.org/10.5555/2503308.2188396openalex-snapshot
Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-981-96-6400-9_20openalex-snapshot
Diversified Conversational Recommendation System
inferred← citeshttps://doi.org/10.1007/978-981-96-6400-9_22openalex-snapshot
Poisoning Attacks Against Security-Aware Federated Recommendation System
inferred← citeshttps://doi.org/10.1007/s10791-026-10409-1openalex-snapshot
Generative artificial intelligence model for knowledge transfer in data-sparse cross-domain recommender systems
inferred← citeshttps://doi.org/10.1007/s11518-026-5758-0openalex-snapshot
Cross-project Software Defect Prediction Using Divergence-based Domain Adaptation Approach
inferred← citeshttps://doi.org/10.1016/j.dajour.2024.100518openalex-snapshot
A systematic review of the literature on deep learning approaches for cross-domain recommender systems
inferred← citeshttps://doi.org/10.1016/j.dss.2025.114473openalex-snapshot
Multi-interest transfer using contrastive learning for cross-domain recommendation
inferred← citeshttps://doi.org/10.1016/j.elerap.2025.101564openalex-snapshot
Mitigating domain adaptation and cold start challenges in cross-domain recommender systems using generative adversarial network model
inferred← citeshttps://doi.org/10.1016/j.inffus.2024.102343openalex-snapshot
A graph neural approach for group recommendation system based on pairwise preferences
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103215openalex-snapshot
CRRL: Contrastive Region Relevance Learning Framework for Cross-city Traffic Prediction
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113766openalex-snapshot
Noise-enhanced graph contrastive learning for multimodal recommendation systems
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114040openalex-snapshot
Multi-space Knowledge Graph Embedding and Adversarial Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/atscm67505.2025.11473580openalex-snapshot
A review of the literature on cross-domain recommender systems using convolutional neural network as a deep learning method
inferred← citeshttps://doi.org/10.1109/bigdataservice70481.2026.00031openalex-snapshot
Degrading Trustworthiness in Cross-Domain Recommendation via Popularity Bias Poisoning
inferred← citeshttps://doi.org/10.1109/ica67499.2025.00045openalex-snapshot
DF-CDR: A Unified Framework for Dual Fairness in Cross-Domain Recommendation Systems
inferred← citeshttps://doi.org/10.1109/tkde.2025.3582297openalex-snapshot
FairCDSR: Fairness-Aware Cross-Domain Sequential Recommendation via Multi-Interest Transfer and Contrastive Learning
inferred← citeshttps://doi.org/10.1109/trustcom66490.2025.00101openalex-snapshot
PANDA-CDR: Perturbation-Aware and Neural Dual-Channel Alignment for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3715151openalex-snapshot
Disentangled Multi-Graph Convolution for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3727648.3727657openalex-snapshot
Cross-domain Recommendation Method Based on Multi-modal Contrastive Learning
inferred← citeshttps://doi.org/10.14569/ijacsa.2025.0160610openalex-snapshot
Impact of Auxiliary Information in Generative Artificial Intelligence Models for Cross-Domain Recommender Systems
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