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A Diffusion Model for POI Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0304-4149(82)90051-5openalex-snapshot
Reverse-time diffusion equation models
inferredcites →https://doi.org/10.1016/j.neunet.2023.03.034openalex-snapshot
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs
inferredcites →https://doi.org/10.1016/j.neunet.2024.106207openalex-snapshot
A Comprehensive Survey on Deep Graph Representation Learning
inferredcites →https://doi.org/10.1109/icde55515.2023.00178openalex-snapshot
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1109/icdm50108.2020.00124openalex-snapshot
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation
inferredcites →https://doi.org/10.1109/icdm54844.2022.00032openalex-snapshot
Kernel-based Substructure Exploration for Next POI Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.3007194openalex-snapshot
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3280859openalex-snapshot
Towards Semi-Supervised Universal Graph Classification
inferredcites →https://doi.org/10.1109/tkde.2024.3349397openalex-snapshot
Learning Graph ODE for Continuous-Time Sequential Recommendation
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2487788.2487907openalex-snapshot
Collaborative filtering meets next check-in location prediction
inferredcites →https://doi.org/10.1145/2661829.2661983openalex-snapshot
Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences
inferredcites →https://doi.org/10.1145/2983323.2983711openalex-snapshot
Learning Graph-based POI Embedding for Location-based Recommendation
inferredcites →https://doi.org/10.1145/3340531.3411876openalex-snapshot
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3366423.3380214openalex-snapshot
Structural Deep Clustering Network
inferredcites →https://doi.org/10.1145/3394486.3403252openalex-snapshot
Geography-Aware Sequential Location Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401137openalex-snapshot
Disentangled Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3442381.3449998openalex-snapshot
STAN: Spatio-Temporal Attention Network for Next Location Recommendation
inferredcites →https://doi.org/10.1145/3477495.3531801openalex-snapshot
Empowering Next POI Recommendation with Multi-Relational Modeling
inferredcites →https://doi.org/10.1145/3477495.3531905openalex-snapshot
Next Point-of-Interest Recommendation with Auto-Correlation Enhanced Multi-Modal Transformer Network
inferredcites →https://doi.org/10.1145/3477495.3531989openalex-snapshot
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532012openalex-snapshot
Learning Graph-based Disentangled Representations for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3513092openalex-snapshot
Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation
inferredcites →https://doi.org/10.1145/3534678.3539383openalex-snapshot
Graph-Flashback Network for Next Location Recommendation
inferredcites →https://doi.org/10.1145/3539597.3570408openalex-snapshot
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1609/aaai.v30i1.9971openalex-snapshot
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015877openalex-snapshot
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i01.5337openalex-snapshot
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
inferredcites →https://doi.org/10.1609/aaai.v34i01.5353openalex-snapshot
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2018/324openalex-snapshot
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction
inferredcites →https://doi.org/10.24963/ijcai.2021/206openalex-snapshot
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
inferredcites →https://doi.org/10.24963/ijcai.2022/295openalex-snapshot
TGNN: A Joint Semi-supervised Framework for Graph-level Classification
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/10.4230/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.1207.4676openalex-snapshot
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1907.05600openalex-snapshot
Generative Modeling by Estimating Gradients of the Data Distribution
inferredcites →https://doi.org/10.48550/arxiv.2006.11239openalex-snapshot
Denoising Diffusion Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.2009.09761openalex-snapshot
DiffWave: A Versatile Diffusion Model for Audio Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2011.13456openalex-snapshot
Score-Based Generative Modeling through Stochastic Differential Equations
inferredcites →https://doi.org/10.48550/arxiv.2105.05233openalex-snapshot
Diffusion Models Beat GANs on Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2203.02923openalex-snapshot
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
inferredcites →https://doi.org/10.48550/arxiv.2205.14217openalex-snapshot
Diffusion-LM Improves Controllable Text Generation
inferredcites →https://doi.org/10.48550/arxiv.2209.03003openalex-snapshot
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
inferredcites →https://doi.org/10.48550/arxiv.2209.14734openalex-snapshot
DiGress: Discrete Denoising diffusion for graph generation
inferredcites →https://doi.org/10.52202/068431-0261openalex-snapshot
EGSDE: Unpaired Image-To-Image Translation Via Energy-Guided Stochastic Differential Equations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-981-95-0880-8_28openalex-snapshot
Spatio-Temporal Graph Representation Learning for POI Recommendation
inferred← citeshttps://doi.org/10.1007/978-981-97-5618-6_27openalex-snapshot
Next Points of Interest Recommendations Based on Spatio-Temporal-Category Pattern Information
inferred← citeshttps://doi.org/10.1007/s10462-025-11367-8openalex-snapshot
Place recognition meet multiple modalities: a comprehensive review, current challenges and future development
inferred← citeshttps://doi.org/10.1007/s11227-026-08462-0openalex-snapshot
Dual-preference graph learning for next point-of-interest recommendation
inferred← citeshttps://doi.org/10.1007/s11432-022-3952-3openalex-snapshot
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling
inferred← citeshttps://doi.org/10.1007/s40860-024-00233-zopenalex-snapshot
A survey on graph neural network-based next POI recommendation for smart cities
inferred← citeshttps://doi.org/10.1007/s41019-026-00346-wopenalex-snapshot
A Survey of Generative Techniques for Spatial-Temporal Data Mining
inferred← citeshttps://doi.org/10.1007/s44336-025-00012-1openalex-snapshot
MultiPerG: Multiple Periodic Geography convolution for next POI recommendation
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103667openalex-snapshot
Cross-domain attention transfer network for recommendation
inferred← citeshttps://doi.org/10.1016/j.cosrev.2025.100854openalex-snapshot
Graph diffusion models: A comprehensive survey of methods and applications
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133106openalex-snapshot
FedLHSSG: A federated framework for POI recommendation using local hypergraph with shared spatial graph
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133539openalex-snapshot
HyBERT-Next: A hierarchical framework integrating hypergraph convolution and transformer for multi-level next POI recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133714openalex-snapshot
Learning inductive representations from LBSNs for next POI recommendation
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134149openalex-snapshot
LLM-driven location completion and test-time training for next location prediction
inferred← citeshttps://doi.org/10.1016/j.ins.2024.121004openalex-snapshot
DSDRec: Next POI recommendation using deep semantic extraction and diffusion model
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123434openalex-snapshot
Temporal-preference-aware attention in latent diffusion for personalized POI recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123919openalex-snapshot
User preference generation and recommendation of new energy vehicles based on diffusion model and multimodal knowledge graph
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104119openalex-snapshot
Distribution-guided Graph Learning for Sequential Recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104284openalex-snapshot
DiffSBR: A diffusion model for session-based recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104434openalex-snapshot
LRSA: LLM-RecSys alignment for time-specific next POI recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.104756openalex-snapshot
Multi-view learning with hierarchical cross-attention for next POI recommendation
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112784openalex-snapshot
Explainable next POI recommendation based on spatial–temporal disentanglement representation and pseudo profile generation
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.129161openalex-snapshot
Multivariate Hawkes Spatio-Temporal Point Process with attention for point of interest recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.106207openalex-snapshot
A Comprehensive Survey on Deep Graph Representation Learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2024.107071openalex-snapshot
Enhancing Recommender Systems through Imputation and Social-Aware Graph Convolutional Neural Network
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.107212openalex-snapshot
COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108599openalex-snapshot
Adversarial contrastive with leveraging negative knowledge for point of interest sequence learning
inferred← citeshttps://doi.org/10.1016/j.neunet.2026.108849openalex-snapshot
Relation-Centric knowledge graph generation for recommendation based on conditional diffusion model
inferred← citeshttps://doi.org/10.1038/s41598-025-88858-9openalex-snapshot
A data augmentation model integrating supervised and unsupervised learning for recommendation
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ExplainedKG-Next: an explainable human mobility pattern learning framework for next location prediction
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888072openalex-snapshot
Heterogeneous Graph Dual-structure Optimization Based Attribute-aware for Recommendation
inferred← citeshttps://doi.org/10.1109/ichms65439.2025.11154359openalex-snapshot
CoCo-POI: Collaborative Contrastive Learning for Point-of-Interest Recommendation
inferred← citeshttps://doi.org/10.1109/icws72778.2026.00059openalex-snapshot
Flow Matching with Collaborative Contexts and Variational Interests for POI Recommendation
inferred← citeshttps://doi.org/10.1109/jiot.2024.3446048openalex-snapshot
Diff-DGMN: A Diffusion-Based Dual Graph Multiattention Network for POI Recommendation
inferred← citeshttps://doi.org/10.1109/jiot.2026.3704841openalex-snapshot
Multisource Graphs and Dual KAN-Transformers for Next POI Recommendation
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343380openalex-snapshot
Diff-BMFL: A Diffusion Bridge-based Multi-Dimensional Features Learning for POI Recommendation
inferred← citeshttps://doi.org/10.1109/tbdata.2025.3618453openalex-snapshot
Bridging User Dynamic Preferences: A Unified Bridge-Based Diffusion Model for Next POI Recommendation
inferred← citeshttps://doi.org/10.1109/tbdata.2026.3653638openalex-snapshot
Aligning Authentic Location Shares With Mobility Information Bottleneck
inferred← citeshttps://doi.org/10.1109/tcss.2026.3667558openalex-snapshot
Hierarchical Information Fusion and Diffusion Sampling to Enhance Streaming Session-Based Recommendation
inferred← citeshttps://doi.org/10.1109/tcss.2026.3675313openalex-snapshot
From User State to Destination: Schrödinger Bridge-Guided Diffusion Model for Personalized Next POI Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3349397openalex-snapshot
Learning Graph ODE for Continuous-Time Sequential Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2024.3466301openalex-snapshot
Diffusion-Based Graph Generative Methods
inferred← citeshttps://doi.org/10.1109/tkde.2024.3509480openalex-snapshot
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning
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A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
inferred← citeshttps://doi.org/10.1109/tsc.2025.3562352openalex-snapshot
HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model
inferred← citeshttps://doi.org/10.1109/tsc.2025.3646723openalex-snapshot
Graph-Based Diffusion Model for Service Recommendation
inferred← citeshttps://doi.org/10.1109/tsmc.2026.3651345openalex-snapshot
Exploiting Hierarchical Category Information to Improve Next Point-of-Interest Recommendation Via Hyperbolic Graph Convolution Network
inferred← citeshttps://doi.org/10.1145/3624018openalex-snapshot
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning
inferred← citeshttps://doi.org/10.1145/3626528openalex-snapshot
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling
inferred← citeshttps://doi.org/10.1145/3626772.3657724openalex-snapshot
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations
inferred← citeshttps://doi.org/10.1145/3637528.3671743openalex-snapshot
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
inferred← citeshttps://doi.org/10.1145/3690624.3709384openalex-snapshot
Contrastive Learning for Inventory Add Prediction at Fliggy
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Distributed Recommendation Systems: Survey and Research Directions
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Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
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Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
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Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
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When Automated Assessment Meets Automated Content Generation: Examining Text Quality in the Era of GPTs
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Learning Knowledge-diverse Experts for Long-tailed Graph Classification
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How Fair is Your Diffusion Recommender Model?
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Diffusion Models for Recommender Systems: From Content Distribution To Content Creation
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Modality-Aware Diffusion Augmentation with Consistent Subspace Disentanglement for Session-based Recommendation
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The 6th International Workshop on Talent and Management Computing (TMC 2025)
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COTR: Efficient Job Task Recognition for Occupational Information Systems with Class-Incremental Learning
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Examination Process Modeling for Intelligent Patent Management: A Multi-aspect Neural Sequential Approach
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Causal Variational Inference for Deconfounded Multi-Behavior Recommendation
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Harnessing Large Language Models for Group POI Recommendations
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Reservoir parameters prediction based on spatially transferred long short-term memory network
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Location-Based Games as a Form of City Promotion: The Case Study of Pokémon GO and the Cracow Old Town
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Knowledge Graph Contrastive Learning for Recommendation Via Knowledge-Aware Reasoning
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GSTRDFA: A Spatio-Temporal Knowledge Graph Enhanced POI Recommendation Method
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Enhanced Graph Diffusion Learning with Transformable Patching via Curriculum Contrastive Learning for Session Recommendation
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Interpretable Embeddings for Next Point-of-Interest Recommendation via Large Language Model Question–Answering
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GeoDFNet: a point-of-interest classification algorithm with dual fusion of geospatial local neighborhood features
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