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Time-aware Path Reasoning on Knowledge Graph for 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/10.1007/978-0-387-73003-5_196openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1007/s11257-012-9136-xopenalex-snapshot
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
inferredcites →https://doi.org/10.1007/springerreference_70943openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1016/j.patcog.2005.01.025openalex-snapshot
Clustering of time series data—a survey
inferredcites →https://doi.org/10.1016/j.websem.2018.12.008openalex-snapshot
Embedding models for episodic knowledge graphs
inferredcites →https://doi.org/10.1016/s0925-2312(00)00324-6openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1037/a0027127openalex-snapshot
Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).
inferredcites →https://doi.org/10.1109/34.1000236openalex-snapshot
Mean shift: a robust approach toward feature space analysis
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00294openalex-snapshot
Invariant Grounding for Video Question Answering
inferredcites →https://doi.org/10.1109/icdew.2007.4401070openalex-snapshot
A Survey of Explanations in Recommender Systems
inferredcites →https://doi.org/10.1109/icdm.2018.00035openalex-snapshot
Self-Attentive Sequential Recommendation
inferredcites →https://doi.org/10.1109/sp46214.2022.9833669openalex-snapshot
SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records
inferredcites →https://doi.org/10.1109/tkde.2020.3028705openalex-snapshot
A Survey on Knowledge Graph-Based Recommender Systems
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnnls.2021.3070843openalex-snapshot
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot
An efficient k-means clustering algorithm: analysis and implementation
inferredcites →https://doi.org/10.1142/9789813271234_0013openalex-snapshot
Gaussian Mixture Models
inferredcites →https://doi.org/10.1145/1297231.1297259openalex-snapshot
Effective explanations of recommendations
inferredcites →https://doi.org/10.1145/2396761.2398492openalex-snapshot
Time-aware topic recommendation based on micro-blogs
inferredcites →https://doi.org/10.1145/2645710.2645724openalex-snapshot
Beyond clicks
inferredcites →https://doi.org/10.1145/2872427.2883037openalex-snapshot
Ups and Downs
inferredcites →https://doi.org/10.1145/2939672.2939673openalex-snapshot
Collaborative Knowledge Base Embedding for Recommender Systems
inferredcites →https://doi.org/10.1145/2988450.2988452openalex-snapshot
Improved Recurrent Neural Networks for Session-based Recommendations
inferredcites →https://doi.org/10.1145/3038912.3052627openalex-snapshot
Streaming Recommender Systems
inferredcites →https://doi.org/10.1145/3109859.3109882openalex-snapshot
Translation-based Recommendation
inferredcites →https://doi.org/10.1145/3132847.3132892openalex-snapshot
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
inferredcites →https://doi.org/10.1145/3159652.3159656openalex-snapshot
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding
inferredcites →https://doi.org/10.1145/3159652.3159666openalex-snapshot
SHINE
inferredcites →https://doi.org/10.1145/3159652.3159668openalex-snapshot
Sequential Recommendation with User Memory Networks
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3178876.3186175openalex-snapshot
DKN
inferredcites →https://doi.org/10.1145/3184558.3191639openalex-snapshot
Deriving Validity Time in Knowledge Graph
inferredcites →https://doi.org/10.1145/3209978.3210010openalex-snapshot
Explainable Recommendation via Multi-Task Learning in Opinionated Text Data
inferredcites →https://doi.org/10.1145/3209978.3210017openalex-snapshot
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
inferredcites →https://doi.org/10.1145/3219819.3219965openalex-snapshot
Leveraging Meta-path based Context for Top- N Recommendation with A Neural Co-Attention Model
inferredcites →https://doi.org/10.1145/3269206.3271739openalex-snapshot
RippleNet
inferredcites →https://doi.org/10.1145/3289600.3290975openalex-snapshot
A Simple Convolutional Generative Network for Next Item Recommendation
inferredcites →https://doi.org/10.1145/3292500.3330989openalex-snapshot
KGAT
inferredcites →https://doi.org/10.1145/3331184.3331203openalex-snapshot
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3336191.3371786openalex-snapshot
Time Interval Aware Self-Attention for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3340531.3411947openalex-snapshot
Multi-modal Knowledge Graphs for Recommender Systems
inferredcites →https://doi.org/10.1145/3340531.3411992openalex-snapshot
Generate Neural Template Explanations for Recommendation
inferredcites →https://doi.org/10.1145/3343031.3350893openalex-snapshot
Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation
inferredcites →https://doi.org/10.1145/3357384.3357895openalex-snapshot
BERT4Rec
inferredcites →https://doi.org/10.1145/3383313.3412248openalex-snapshot
Contextual and Sequential User Embeddings for Large-Scale Music Recommendation
inferredcites →https://doi.org/10.1145/3394486.3403258openalex-snapshot
Interactive Path Reasoning on Graph for Conversational Recommendation
inferredcites →https://doi.org/10.1145/3397271.3401134openalex-snapshot
KERL
inferredcites →https://doi.org/10.1145/3397271.3401154openalex-snapshot
Time Matters
inferredcites →https://doi.org/10.1145/3397271.3401171openalex-snapshot
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs
inferredcites →https://doi.org/10.1145/3442381.3449947openalex-snapshot
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
inferredcites →https://doi.org/10.1145/3442381.3450133openalex-snapshot
Learning Intents behind Interactions with Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482420openalex-snapshot
Counterfactual Explainable Recommendation
inferredcites →https://doi.org/10.1145/3459637.3482424openalex-snapshot
DisenKGAT
inferredcites →https://doi.org/10.1145/3531267openalex-snapshot
Time-aware Path Reasoning on Knowledge Graph for Recommendation
inferredcites →https://doi.org/10.1609/aaai.v28i1.8870openalex-snapshot
Knowledge Graph Embedding by Translating on Hyperplanes
inferredcites →https://doi.org/10.1609/aaai.v29i1.9491openalex-snapshot
Learning Entity and Relation Embeddings for Knowledge Graph Completion
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v33i01.33015329openalex-snapshot
Explainable Reasoning over Knowledge Graphs for Recommendation
inferredcites →https://doi.org/10.18653/v1/d17-1060openalex-snapshot
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
inferredcites →https://doi.org/10.18653/v1/d18-1225openalex-snapshot
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
inferredcites →https://doi.org/10.18653/v1/d18-1362openalex-snapshot
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
inferredcites →https://doi.org/10.18653/v1/d19-1018openalex-snapshot
Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects
inferredcites →https://doi.org/10.2139/ssrn.3319790openalex-snapshot
Embedding Models for Episodic Knowledge Graphs
inferredcites →https://doi.org/10.24963/ijcai.2019/296openalex-snapshot
Co-Attentive Multi-Task Learning for Explainable Recommendation
inferredcites →https://doi.org/10.24963/ijcai.2019/547openalex-snapshot
Graph Contextualized Self-Attention Network for Session-based Recommendation
inferredcites →https://doi.org/10.3115/1220355openalex-snapshot
Proceedings of the 20th international conference on Computational Linguistics - COLING '04
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/d14-1207openalex-snapshot
CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection
inferredcites →https://doi.org/10.3115/v1/p15-1067openalex-snapshot
Knowledge Graph Embedding via Dynamic Mapping Matrix
inferredcites →https://doi.org/10.48550/arxiv.1205.2618openalex-snapshot
BPR: Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.1711.05851openalex-snapshot
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
inferredcites →https://doi.org/10.48550/arxiv.1801.08284openalex-snapshot
DKN: Deep Knowledge-Aware Network for News Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1904.06690openalex-snapshot
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
inferredcites →https://doi.org/10.48550/arxiv.2201.12872openalex-snapshot
Discovering Invariant Rationales for Graph Neural Networks
inferredcites →https://doi.org/10.7551/mitpress/11474.003.0014openalex-snapshot
Neural Information Processing Systems

What points at this work

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

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Relation Prediction Based on Source-Entity Behavior Preference Modeling via Heterogeneous Graph Pooling
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Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
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Explainable Recommender Systems with Knowledge Graphs and Language Models
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LLM is Knowledge Graph Reasoner: LLM’s Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation
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Knowledge Graph Mining-Based Personalized Learning Path Recommendation for English Learning: Leveraging Adaptive Techniques for Improved Outcomes
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Integrating User Sentiment and Behavior for Explainable Recommendation
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Integrating spatio-temporal correlation and multi-modal preferences for next point-of-interest recommendation
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A transformer framework for generating context-aware knowledge graph paths
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Temporal-Aware bicomplex embeddings with implicit attention for knowledge graph link prediction
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Persuasive explanations for path reasoning recommendations
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Learning resource recommendation models based on learning behaviors and hierarchical structure graph
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GCN-diffusion and multi-view contrastive learning for enhanced knowledge recommendation
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A novel method to identify potential collaborators with a patent-based knowledge graph
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Disentangling User Cognitive Intent with Causal Reasoning for Knowledge-Enhanced Recommendation
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A dynamic preference recommendation model based on spatiotemporal knowledge graphs
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Process-aware programming assessment through temporal knowledge graph reasoning and LLM verification
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Prioritising explainable AI-driven recommendations with knowledge graphs and reinforcement learning
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Temporal knowledge graph recommendation with sequence-aware and path reasoning
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Modeling users’ preference changes in recommender systems via time-dependent Markov random fields
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Contrastive multi-interest graph attention network for knowledge-aware recommendation
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Broad information diffusion modelling for sharing link click prediction using knowledge graphs
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SKGRec: Unifying temporal dynamics and knowledge graphs for robust recommendations
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Enriching interactive explanations with fuzzy temporal constraint networks
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Recommendations with residual connections and negative sampling based on knowledge graphs
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Reducing noise-triplets via differentiable sampling for knowledge-enhanced recommendation with collaborative signal guidance
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A review of graph neural networks and pretrained language models for knowledge graph reasoning
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Time-aware hybrid recommender for sparse data with nonlinear interactions and dynamic shifts
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Feature-decorrelation adaptive contrastive learning for knowledge-aware recommendation
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PGRC: an explainable recommendation method enhanced by knowledge graph and reinforcement learning
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GraphRouter: Adaptive Acyclic $k$—Path Counting with High Precision
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HTRGN: Hybrid Temporal-Aware and Relation-Enhanced Graph Neural Network for Extrapolation Reasoning in Temporal Knowledge Graphs
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A Survey on Knowledge Graph-Based Recommender Systems
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Knowledge Graph Recommendation Algorithm Combined with PersonalRank Sampling
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CADRL: Category-Aware Dual-Agent Reinforcement Learning for Explainable Recommendations over Knowledge Graphs
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BDARec: Balancing Diversity and Accuracy of Recommendation Model with Graph Neural Networks
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A Personalized Education Recommendation Algorithm Based on Student Learning Behavior and Graph Neural Networks
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Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve
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A Deep Recommendation Model Considering the Impact of Time and Individual Diversity
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Knowledge Graph-Based Behavior Denoising and Preference Learning for Sequential Recommendation
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Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation
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Towards Knowledge-Aware and Deep Reinforced Cross-Domain Recommendation Over Collaborative Knowledge Graph
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THCN: A Hawkes Process Based Temporal Causal Convolutional Network for Extrapolation Reasoning in Temporal Knowledge Graphs
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Explainable Session-Based Recommendation via Path Reasoning
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A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal
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Mixed-Curvature Manifolds Interaction Learning for Knowledge Graph-aware Recommendation
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Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
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User Perception of Recommendation Explanation: Are Your Explanations What Users Need?
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Multi-View Enhanced Graph Attention Network for Session-Based Music Recommendation
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TGLite: A Lightweight Programming Framework for Continuous-Time Temporal Graph Neural Networks
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Recommendation System Based on Temporal Knowledge Graph Path Reasoning
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Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics
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Temporal Knowledge Graph Attention Network for Online Doctor Recommendation
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Mining User–Item Interactions via Knowledge Graph for Recommendation
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hopwise: A Python Library for Explainable Recommendation based on Path Reasoning over Knowledge Graphs
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Review of Explainable Graph-Based Recommender Systems
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hoploy: a Plugin-Based Inference Layer for Path-Based Explainable Recommendation over Knowledge Graphs
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How to Build Explainable Recommender Systems using Path Reasoning on Knowledge Graphs: A Tutorial with hopwise
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Innovative Practices and Value Extension of the Subjectivity of Chinese Culture under the Background of Data Empowerment and Technology Integration
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Towards Pattern-Aware Data Augmentation for Temporal Knowledge Graph Completion
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Search to Pass Messages for Temporal Knowledge Graph Completion
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Deep Learning Meets Knowledge Graphs: A Comprehensive Survey
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Impact of temporal context on recommender systems along global timeline
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Adaptive Graph Neural Network with Incremental Learning Mechanism for Knowledge Graph Reasoning
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Explainable Deep Reinforcement Learning for Knowledge Graph Reasoning
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Esclarecendo e consolidando representações de conhecimento baseadas em grafos na Biblioteconomia e Ciência da Informação: um quadro terminológico
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