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An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01240-3_25openalex-snapshot
Learning Human-Object Interactions by Graph Parsing Neural Networks
inferredcites →https://doi.org/10.1007/978-3-030-15719-7_3openalex-snapshot
Cross-Domain Recommendation via Deep Domain Adaptation
inferredcites →https://doi.org/10.1007/978-3-540-73078-1_44openalex-snapshot
Cross-Domain Mediation in Collaborative Filtering
inferredcites →https://doi.org/10.1007/s11431-020-1647-3openalex-snapshot
Pre-trained models for natural language processing: A survey
inferredcites →https://doi.org/10.1109/cidm.2014.7008659openalex-snapshot
Semantic clustering-based cross-domain recommendation
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/iccv.2019.00502openalex-snapshot
Rethinking ImageNet Pre-Training
inferredcites →https://doi.org/10.1109/icde48307.2020.00019openalex-snapshot
Price-aware Recommendation with Graph Convolutional Networks
inferredcites →https://doi.org/10.1109/icde48307.2020.00020openalex-snapshot
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network
inferredcites →https://doi.org/10.1109/icdm50108.2020.00039openalex-snapshot
Graph Pooling with Representativeness
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852049openalex-snapshot
Cross-domain Recommendation with Semantic Correlation in Tagging Systems
inferredcites →https://doi.org/10.1109/mc.2009.263openalex-snapshot
Matrix Factorization Techniques for Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2005.99openalex-snapshot
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
inferredcites →https://doi.org/10.1109/tkde.2020.2981333openalex-snapshot
Deep Learning on Graphs: A Survey
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnnls.2018.2875144openalex-snapshot
A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1109/tpami.2020.3029762openalex-snapshot
Co-Embedding of Nodes and Edges With Graph Neural Networks
inferredcites →https://doi.org/10.1137/1.9781611977172.61openalex-snapshot
Localized Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/2020408.2020504openalex-snapshot
Localized factor models for multi-context recommendation
inferredcites →https://doi.org/10.1145/2783258.2783273openalex-snapshot
Collaborative Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3159652.3159675openalex-snapshot
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3292500.3330982openalex-snapshot
Graph Convolutional Networks with EigenPooling
inferredcites →https://doi.org/10.1145/3308558.3313488openalex-snapshot
Graph Neural Networks for Social Recommendation
inferredcites →https://doi.org/10.1145/3326362openalex-snapshot
Dynamic Graph CNN for Learning on Point Clouds
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3340531.3412012openalex-snapshot
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
inferredcites →https://doi.org/10.1145/3383313.3418477openalex-snapshot
Context-aware Graph Embedding for Session-based News Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441738openalex-snapshot
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
inferredcites →https://doi.org/10.1145/3442381.3450015openalex-snapshot
Learning Fair Representations for Recommendation: A Graph-based Perspective
inferredcites →https://doi.org/10.1145/3459637.3482225openalex-snapshot
A Unified View on Graph Neural Networks as Graph Signal Denoising
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1609/aaai.v32i1.11671openalex-snapshot
FiLM: Visual Reasoning with a General Conditioning Layer
inferredcites →https://doi.org/10.1609/aaai.v33i01.33017370openalex-snapshot
Graph Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.1609/aaai.v34i05.6243openalex-snapshot
Graph Transformer for Graph-to-Sequence Learning
inferredcites →https://doi.org/10.1609/aaai.v35i5.16552openalex-snapshot
Learning to Pre-train Graph Neural Networks
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.90openalex-snapshot
When Do You Need Billions of Words of Pretraining Data?
inferredcites →https://doi.org/10.18653/v1/d19-1345openalex-snapshot
Text Level Graph Neural Network for Text Classification
inferredcites →https://doi.org/10.24963/ijcai.2017/239openalex-snapshot
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
inferredcites →https://doi.org/10.24963/ijcai.2019/587openalex-snapshot
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
inferredcites →https://doi.org/10.24963/ijcai.2021/639openalex-snapshot
Cross-Domain Recommendation: Challenges, Progress, and Prospects
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/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1312.6203openalex-snapshot
Spectral Networks and Locally Connected Networks on Graphs
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1908.01000openalex-snapshot
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization
inferredcites →https://doi.org/10.5281/zenodo.15206559openalex-snapshot
Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games
inferredcites →https://doi.org/10.7551/mitpress/1120.001.0001openalex-snapshot
Advances in Neural Information Processing Systems 14
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-33383-5_16openalex-snapshot
Generative Sentiment Transfer via Adaptive Masking
inferred← citeshttps://doi.org/10.1007/978-3-031-77617-5_15openalex-snapshot
Exploring Language Modeling Techniques for Improved Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-981-96-0116-5_38openalex-snapshot
Detaching Range from Depth: Personalized Recommendation Meets Personalized PageRank
inferred← citeshttps://doi.org/10.1007/978-981-96-0116-5_39openalex-snapshot
Context-Aware Structural Adaptive Graph Neural Networks
inferred← citeshttps://doi.org/10.1007/978-981-99-7254-8_47openalex-snapshot
Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125976openalex-snapshot
RETRACTED: Pre-training graph autoencoder incorporating hierarchical topology knowledge
inferred← citeshttps://doi.org/10.1016/j.ipm.2024.103693openalex-snapshot
Multi-task Hierarchical Heterogeneous Fusion Framework for multimodal summarization
inferred← citeshttps://doi.org/10.1038/s41598-024-80509-9openalex-snapshot
MCoGCN-motif high-order feature-guided embedding learning framework for social link prediction
inferred← citeshttps://doi.org/10.1109/dsc67331.2025.00031openalex-snapshot
Navigating the Black Box: Leveraging LLMs for Effective Text-Level Graph Injection Attacks
inferred← citeshttps://doi.org/10.1109/dsc67331.2025.00053openalex-snapshot
Reasoning Paths as Signals: Augmenting Multi-Hop Fact Verification Through Structural Reasoning Progression
inferred← citeshttps://doi.org/10.1109/icws60048.2023.00027openalex-snapshot
ExpoEv: Enhancing Social Recommendation Service with Social Exposure and Feature Evolution
inferred← citeshttps://doi.org/10.1109/tkde.2025.3548160openalex-snapshot
Dual Test-Time Training for Out-of-Distribution Recommender System
inferred← citeshttps://doi.org/10.1145/3543507.3583340openalex-snapshot
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
inferred← citeshttps://doi.org/10.1145/3583780.3614773openalex-snapshot
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3583780.3615204openalex-snapshot
Geometry Interaction Augmented Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3638351openalex-snapshot
Triple Sequence Learning for Cross-domain Recommendation
inferred← citeshttps://doi.org/10.1145/3641549openalex-snapshot
Mixed Graph Contrastive Network for Semi-supervised Node Classification
inferred← citeshttps://doi.org/10.1145/3660852openalex-snapshot
Unifying Graph Neural Networks with a Generalized Optimization Framework
inferred← citeshttps://doi.org/10.1145/3687481openalex-snapshot
Cluster-Based Graph Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3724392openalex-snapshot
Uniform Graph Pre-training and Prompting for Transferable Recommendation
inferred← citeshttps://doi.org/10.1145/3728464openalex-snapshot
PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering
inferred← citeshttps://doi.org/10.1145/3788910.3788957openalex-snapshot
From Data to Delight: How Machine Learning Shapes Consumer Personalization Strategies in the Digital Era
inferred← citeshttps://doi.org/10.3390/info14090512openalex-snapshot
Progressive-Augmented-Based DeepFill for High-Resolution Image Inpainting
inferred← citeshttps://doi.org/10.3390/s24134356openalex-snapshot
Coupling Fault Diagnosis Based on Dynamic Vertex Interpretable Graph Neural Network
inferred← citeshttps://doi.org/10.4018/979-8-3373-8217-3.ch004openalex-snapshot
Enhancing Digital Collaboration Through Human-Centered AI and Machine Learning
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