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Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-04179-3_18openalex-snapshot
A Hybrid Model Based on the Rating Bias and Textual Bias for Recommender Systems
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Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.future.2017.12.020openalex-snapshot
Multi-modal Bayesian embedding for point-of-interest recommendation on location-based cyber-physical–social networks
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Proceedings. 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Dimensionality Reduction by Learning an Invariant Mapping
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/icdm.2016.0030openalex-snapshot
Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2016.0135openalex-snapshot
Context-Aware Sequential Recommendation
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2020.3038234openalex-snapshot
Attribute Graph Neural Networks for Strict Cold Start Recommendation
inferredcites →https://doi.org/10.1109/tpds.2015.2427155openalex-snapshot
Minimizing Inter-Server Communications by Exploiting Self-Similarity in Online Social Networks
inferredcites →https://doi.org/10.1109/tsc.2019.2918310openalex-snapshot
An Attention-Based Spatiotemporal LSTM Network for Next POI Recommendation
inferredcites →https://doi.org/10.1145/1458082openalex-snapshot
Proceedings of the 17th ACM conference on Information and knowledge management
inferredcites →https://doi.org/10.1145/1772690.1772773openalex-snapshot
Factorizing personalized Markov chains for next-basket recommendation
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3109859.3109882openalex-snapshot
Translation-based Recommendation
inferredcites →https://doi.org/10.1145/3132847.3132926openalex-snapshot
Neural Attentive Session-based Recommendation
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3159652.3159668openalex-snapshot
Sequential Recommendation with User Memory Networks
inferredcites →https://doi.org/10.1145/3209978.3210017openalex-snapshot
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3240323openalex-snapshot
Proceedings of the 12th ACM Conference on Recommender Systems
inferredcites →https://doi.org/10.1145/3240323.3240343openalex-snapshot
Spectral collaborative filtering
inferredcites →https://doi.org/10.1145/3240323.3240356openalex-snapshot
Translation-based factorization machines for sequential recommendation
inferredcites →https://doi.org/10.1145/3269206.3271761openalex-snapshot
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3292500.3330790openalex-snapshot
Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics
inferredcites →https://doi.org/10.1145/3292500.3330895openalex-snapshot
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
inferredcites →https://doi.org/10.1145/3292500.3330959openalex-snapshot
Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination
inferredcites →https://doi.org/10.1145/3292500.3330984openalex-snapshot
Hierarchical Gating Networks for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3331184.3331210openalex-snapshot
A Collaborative Session-based Recommendation Approach with Parallel Memory Modules
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3336191.3371786openalex-snapshot
Time Interval Aware Self-Attention for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3336191.3371842openalex-snapshot
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling
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/10.1145/3354187openalex-snapshot
Next and Next New POI Recommendation via Latent Behavior Pattern Inference
inferredcites →https://doi.org/10.1145/3394486.3403226openalex-snapshot
On Sampled Metrics for Item Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401111openalex-snapshot
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
inferredcites →https://doi.org/10.1145/3397271.3401123openalex-snapshot
Neighbor Interaction Aware Graph Convolution Networks for Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401133openalex-snapshot
Next-item Recommendation with Sequential Hypergraphs
inferredcites →https://doi.org/10.1145/3404835.3462968openalex-snapshot
Sequential Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1145/3437963.3441799openalex-snapshot
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings
inferredcites →https://doi.org/10.1145/3442381.3449957openalex-snapshot
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013558openalex-snapshot
Hypergraph Neural Networks
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.v35i5.16578openalex-snapshot
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
inferredcites →https://doi.org/10.18653/v1/2022.naacl-mainopenalex-snapshot
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1511.06939openalex-snapshot
Session-based Recommendations with Recurrent Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1706.02216openalex-snapshot
Inductive Representation Learning on Large Graphs
inferredcites →https://doi.org/10.48550/arxiv.1706.02263openalex-snapshot
Graph Convolutional Matrix Completion
inferredcites →https://doi.org/10.48550/arxiv.2002.07962openalex-snapshot
Inductive Representation Learning on Temporal Graphs
inferredcites →https://doi.org/10.5281/zenodo.15206559openalex-snapshot
Formal Semantics for Kolmogorov-Arnold Network Representations of Operational Games
inferredcites →https://doi.org/10.57702/iuuvgtazopenalex-snapshot
A simple framework for contrastive learning of visual representations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Time-Aware Recommendations with Motif-Enhanced Graph Learning
inferred← citeshttps://doi.org/10.1007/978-3-031-97352-9_12openalex-snapshot
Global Citation Recommendation with Context-Aware Temporal Attention Long Short-Term Memory and Filtering Enhanced Learning Module
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Talent Intelligent Recommendation Method Based on Big Data and Knowledge Graph
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DGTC: Dynamic Graph Transformer for Graph-Level Classification
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MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
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Layered Behavior Modeling for Recommendations
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HRMG-EA: Heterogeneous graph neural network recommendation with multi-level guidance based on enhanced-attributes
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Dual-evolution: a deep sequence learning model exploring dual-side evolutions for movie recommendation
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Enhancing Recommendation with Denoising Auxiliary Task
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A survey on sequential recommendation
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Personalized recommendation methods for e-commerce based on multi-source user behavior data fusion
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RMHAT: a multi-graph hierarchical attention network model for personalized and granular recipe recommendation
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Trust-aware spatial–temporal feature estimation for next POI recommendation in location-based social networks
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Intent-enhanced sequential recommendation via multi-view contrastive learning over stabilized essential intents
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HMKRec: Optimize multi-user representation by hypergraph motifs for knowledge-aware recommendation
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RAKCR: Reviews sentiment-aware based knowledge graph convolutional networks for Personalized Recommendation
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Node representation learning with graph augmentation for sequential recommendation
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Multi-feature fused collaborative attention network for sequential recommendation with semantic-enriched contrastive learning
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MC-RGN: Residual Graph Neural Networks based on Markov Chain for sequential recommendation
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A Local context enhanced Consistency-aware Mamba-based Sequential Recommendation model
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Distribution-guided Graph Learning for Sequential Recommendation
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Collaborative local–global context modeling for session-based recommendation
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A global contextual enhanced structural-aware transformer for sequential recommendation
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Intent-Driven Multi-level Augmentation with Contrastive Learning for Sequential Recommendation
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Fairness-Aware Group Recommendation with Spatio-Temporal Feature Fusion
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Feature-level attention network with group-aware interest modeling for sequential recommendation
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PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins
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