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Revisiting Graph-based Recommender Systems from the Perspective of Variational Auto-Encoder

https://doi.org/10.1145/3573385
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What this work says

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

inferredcites →https://doi.org/10.1007/978-0-387-85820-3_1openalex-snapshot
Introduction to Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-030-01418-6_41openalex-snapshot
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
inferredcites →https://doi.org/10.1016/j.ins.2015.02.024openalex-snapshot
Learning similarity with cosine similarity ensemble
inferredcites →https://doi.org/10.1109/icdm.2010.127openalex-snapshot
Factorization Machines
inferredcites →https://doi.org/10.1109/tcss.2022.3151822openalex-snapshot
Joint Multi-Grained Popularity-Aware Graph Convolution Collaborative Filtering for Recommendation
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2487575.2487589openalex-snapshot
FISM
inferredcites →https://doi.org/10.1145/2556270openalex-snapshot
Collaborative Filtering beyond the User-Item Matrix
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3178876.3186150openalex-snapshot
Variational Autoencoders for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3240323.3240343openalex-snapshot
Spectral collaborative filtering
inferredcites →https://doi.org/10.1145/3298689.3347015openalex-snapshot
Enhancing VAEs for collaborative filtering
inferredcites →https://doi.org/10.1145/3309546openalex-snapshot
Attentive Aspect Modeling for Review-Aware Recommendation
inferredcites →https://doi.org/10.1145/3314578openalex-snapshot
Deep Item-based Collaborative Filtering for Top-N Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371831openalex-snapshot
RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback
inferredcites →https://doi.org/10.1145/3343117openalex-snapshot
Joint Neural Collaborative Filtering for Recommender Systems
inferredcites →https://doi.org/10.1145/3373807openalex-snapshot
Efficient Neural Matrix Factorization without Sampling for Recommendation
inferredcites →https://doi.org/10.1145/3383313.3412488openalex-snapshot
Neural Collaborative Filtering vs. Matrix Factorization Revisited
inferredcites →https://doi.org/10.1145/3394486.3403076openalex-snapshot
Towards Deeper Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403177openalex-snapshot
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/3394486.3403236openalex-snapshot
TinyGNN: Learning Efficient Graph Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403254openalex-snapshot
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks
inferredcites →https://doi.org/10.1145/3394486.3403309openalex-snapshot
Privileged Features Distillation at Taobao Recommendations
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3397271.3401123openalex-snapshot
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3397271.3401165openalex-snapshot
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
inferredcites →https://doi.org/10.1145/3397271.3401181openalex-snapshot
Neural Interactive Collaborative Filtering
inferredcites →https://doi.org/10.1145/3397271.3401252openalex-snapshot
A Heterogeneous Graph Neural Model for Cold-start Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462968openalex-snapshot
Sequential Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3437963.3441759openalex-snapshot
Bilateral Variational Autoencoder for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3442381.3449873openalex-snapshot
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3442381.3449986openalex-snapshot
Interest-aware Message-Passing GCN for Recommendation
inferredcites →https://doi.org/10.1145/3442381.3450101openalex-snapshot
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering
inferredcites →https://doi.org/10.1145/3442381.3450133openalex-snapshot
Learning Intents behind Interactions with Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3447548.3467408openalex-snapshot
MixGCF
inferredcites →https://doi.org/10.1145/3460231.3474265openalex-snapshot
Towards Source-Aligned Variational Models for Cross-Domain Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015066openalex-snapshot
Variational Autoencoder with Implicit Optimal Priors
inferredcites →https://doi.org/10.1609/aaai.v34i01.5330openalex-snapshot
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
inferredcites →https://doi.org/10.1609/aaai.v35i5.16533openalex-snapshot
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
inferredcites →https://doi.org/10.4230/lipics.giscience.2025.9openalex-snapshot
Identifying Resilient Communities in Road Networks: A Path-Based Embedding Approach
inferredcites →https://doi.org/10.4230/lipics.wads.2025.45openalex-snapshot
Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1706.02263openalex-snapshot
Graph Convolutional Matrix Completion
inferredcites →https://doi.org/10.48550/arxiv.2010.12256openalex-snapshot
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
inferredcites →https://doi.org/10.5555/2567709.2502622openalex-snapshot
Stochastic variational inference

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-23544-2_6openalex-snapshot
An Optimized Social Semantic Mining and Denoising Framework for Personalized Recommendation Systems: Review and Analysis
inferred← citeshttps://doi.org/10.1007/s13042-023-02045-8openalex-snapshot
A cascaded embedding method with graph neural network for multi-behavior recommendation
inferred← citeshttps://doi.org/10.1007/s44443-026-00844-xopenalex-snapshot
Beyond graph structure:simplified spectral-aware contrastive collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103935openalex-snapshot
Local graph smoothing for link prediction against universal attack
inferred← citeshttps://doi.org/10.1016/j.cose.2025.104784openalex-snapshot
D-VGAEAD: A dual-decoder variational graph autoencoder for anomaly detection based on attribute networks
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112495openalex-snapshot
ESIGCF: Extremely simplified but intent-enhanced graph collaborative filtering for recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125346openalex-snapshot
Towards similar alignment and unique uniformity in collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.131026openalex-snapshot
CDG-Rec: Contrastive-Regularized diffusion with a Synergistic Dual-view Decoder for recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132410openalex-snapshot
Dual-gated multi-behavior recommendation with variational graph autoencoder
inferred← citeshttps://doi.org/10.1016/j.ijin.2026.07.005openalex-snapshot
Dual-personalized federated fast convergence model for efficient service recommendation
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103919openalex-snapshot
Generative recommender systems: A comprehensive survey on model, framework, and application
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120791openalex-snapshot
Learning solid dynamics with graph neural network
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122714openalex-snapshot
Social-semantic enhanced dual-intent hypergraph collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104856openalex-snapshot
Disentangling generative chaos: A multi-scale hypergraph diffusion framework for interpretable recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114575openalex-snapshot
AIARec: Adaptive intent-aware augmentation for graph contrastive learning recommendation method
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107204openalex-snapshot
Conditional diffusion model for recommender systems
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112891openalex-snapshot
RVGCL: Towards robust recommendation via graph contrastive learning with variational inference
inferred← citeshttps://doi.org/10.1109/access.2024.3368441openalex-snapshot
Analyzing Public Sentiment on the Amazon Website: A GSK-Based Double Path Transformer Network Approach for Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/access.2025.3570636openalex-snapshot
A Variational Inference-Based LSTM-Enhanced Deep Neural Model for Sequential Recommendations
inferred← citeshttps://doi.org/10.1109/dsa66321.2025.00037openalex-snapshot
Fusing Semantic and Collaborative Signals for Multi-Dimensional Intent Course Recommendation
inferred← citeshttps://doi.org/10.1109/dsc59305.2023.00032openalex-snapshot
Multi-Task Learning for Game Review Classification with Emotion and Sarcasm Detection
inferred← citeshttps://doi.org/10.1109/icietsd68684.2026.11584874openalex-snapshot
AI-Resume Builder and Job Optimization Website
inferred← citeshttps://doi.org/10.1109/icsp58490.2023.10248832openalex-snapshot
ICCVAE: Item Concept Causal Variational Auto-Encoder for top-n recommendation
inferred← citeshttps://doi.org/10.1109/idap68205.2025.11222261openalex-snapshot
AI-Enhanced Food Recommender System Using DeepFM as Predictive Model
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11228933openalex-snapshot
A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation
inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00113openalex-snapshot
Collaborative Recommendation with Knowledge Graph Enhancement and Contrastive Learning
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3387340openalex-snapshot
Bi-Directional Transfer Graph Contrastive Learning for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3570082openalex-snapshot
Generative-Contrastive Heterogeneous Graph Neural Network
inferred← citeshttps://doi.org/10.1109/tce.2023.3325138openalex-snapshot
A Federated Deep Learning Framework for Privacy-Preserving Consumer Electronics Recommendations
inferred← citeshttps://doi.org/10.1109/tce.2025.3527007openalex-snapshot
Revisiting Alignment and Uniformity for Recommendation via Discrimination and Reliable Assessment
inferred← citeshttps://doi.org/10.1109/tcss.2025.3529706openalex-snapshot
Dual-Domain Collaborative Denoising for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2025.3597081openalex-snapshot
AdaDCL: An Adaptive Disentangled Contrastive Recommendation Method
inferred← citeshttps://doi.org/10.1109/tcss.2025.3635214openalex-snapshot
Optimizing Feature Interaction via Information Bottleneck for CTR Prediction
inferred← citeshttps://doi.org/10.1109/tcss.2026.3669991openalex-snapshot
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3386895openalex-snapshot
Dual Variational Graph Reconstruction Learning for Social Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2025.3536096openalex-snapshot
Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation
inferred← citeshttps://doi.org/10.1109/tnnls.2024.3491827openalex-snapshot
G-Diff: A Graph-Based Decoding Network for Diffusion Recommender Model
inferred← citeshttps://doi.org/10.1109/tnse.2024.3400860openalex-snapshot
A New Strategy of Graph Structure Attack: Multi-View Perturbation Candidate Edge Learning
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3350658openalex-snapshot
NIE-GCN: Neighbor Item Embedding-Aware Graph Convolutional Network for Recommendation
inferred← citeshttps://doi.org/10.1145/3626772.3657738openalex-snapshot
Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3656480openalex-snapshot
Heterogeneous Adaptive Preference Learning for Recommendation
inferred← citeshttps://doi.org/10.1145/3681785openalex-snapshot
AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3688571openalex-snapshot
CETN: Contrast-enhanced Through Network for Click-Through Rate Prediction
inferred← citeshttps://doi.org/10.1145/3696410.3714565openalex-snapshot
MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3701230openalex-snapshot
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems
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/10.1145/3726302.3729955openalex-snapshot
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3730098openalex-snapshot
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation
inferred← citeshttps://doi.org/10.1145/3726302.3730111openalex-snapshot
Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3746027.3755347openalex-snapshot
LLM-Grounded Diffusion for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3770855.3817818openalex-snapshot
ReAU: A Global-to-Local Perspective for Refining Alignment and Uniformity in Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3775057openalex-snapshot
Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs
inferred← citeshttps://doi.org/10.1145/3785145openalex-snapshot
DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809590openalex-snapshot
Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3805712.3809600openalex-snapshot
ProMax: Exploring the Potential of LLM-derived Profiles with Distribution Shaping for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3805712.3809606openalex-snapshot
Revisiting Collaborative Filtering by Unleashing the Power of Similarity
inferred← citeshttps://doi.org/10.1145/3805712.3809691openalex-snapshot
Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems
inferred← citeshttps://doi.org/10.1145/3840748openalex-snapshot
A Survey of Causal Learning in Graph-Based Recommender Systems
inferred← citeshttps://doi.org/10.21203/rs.3.rs-9812877/v1openalex-snapshot
ACDGRec: Adversarial Contrastive Diffusion Graph Neural Network for Robust Recommendation
inferred← citeshttps://doi.org/10.26599/tst.2024.9010048openalex-snapshot
Graph Structure Learning for Robust Recommendation
inferred← citeshttps://doi.org/10.31881/tlr.2026.2827openalex-snapshot
Explainable Personalized Funding Recommendation by Fusing Decision Analysis and Reinforcement Learning
inferred← citeshttps://doi.org/10.31881/tlr.2026.3458openalex-snapshot
Explainable Personalized Funding Recommendation by Fusing Decision Analysis and Reinforcement Learning
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1779096openalex-snapshot
Scalable multi-metric association rule learning for explainable book recommendations
inferred← citeshttps://doi.org/10.3390/app15126772openalex-snapshot
Enhanced Localisation and Handwritten Digit Recognition Using ConvCARU
inferred← citeshttps://doi.org/10.4018/979-8-3693-3278-8.ch007openalex-snapshot
Foundations of Generative AI
inferred← citeshttps://doi.org/10.4018/ijwsr.321199openalex-snapshot
User Cold Start Recommendation System Based on Hofstede Cultural Theory
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