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Explainable Meta-Path Based Recommender Systems
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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/j.knosys.2021.107611openalex-snapshot
Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning
inferredcites →https://doi.org/10.1016/j.knosys.2021.108050openalex-snapshot
TNE: A general time-aware network representation learning framework for temporal applications
inferredcites →https://doi.org/10.1016/j.neunet.2022.05.026openalex-snapshot
Graph Transformer Networks: Learning meta-path graphs to improve GNNs
inferredcites →https://doi.org/10.1093/yel/yey004openalex-snapshot
Data Protection and the Role of Fairness
inferredcites →https://doi.org/10.1109/access.2020.3028587openalex-snapshot
MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks
inferredcites →https://doi.org/10.1109/icdew.2007.4401070openalex-snapshot
A Survey of Explanations in Recommender Systems
inferredcites →https://doi.org/10.1109/icdm.2018.00082openalex-snapshot
Towards Interpretation of Recommender Systems with Sorted Explanation Paths
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.2020.3028705openalex-snapshot
A Survey on Knowledge Graph-Based Recommender Systems
inferredcites →https://doi.org/10.1109/tkde.2021.3101356openalex-snapshot
Interpretable and Efficient Heterogeneous Graph Convolutional Network
inferredcites →https://doi.org/10.1111/j.1467-9280.2006.01787.xopenalex-snapshot
Contextual Diversity, Not Word Frequency, Determines Word-Naming and Lexical Decision Times
inferredcites →https://doi.org/10.1121/1.2017061openalex-snapshot
Trainable grammars for speech recognition
inferredcites →https://doi.org/10.1145/2043932.2044016openalex-snapshot
Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)
inferredcites →https://doi.org/10.1145/2507157.2507230openalex-snapshot
Recommendation in heterogeneous information networks with implicit user feedback
inferredcites →https://doi.org/10.1145/3097983.3098063openalex-snapshot
Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks
inferredcites →https://doi.org/10.1145/3219819.3219890openalex-snapshot
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
inferredcites →https://doi.org/10.1145/3308558.3313607openalex-snapshot
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
inferredcites →https://doi.org/10.1145/3331184.3331203openalex-snapshot
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3397481.3450686openalex-snapshot
Augmenting Visual Information in Knowledge Graphs for Recommendations
inferredcites →https://doi.org/10.1145/3419106openalex-snapshot
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
inferredcites →https://doi.org/10.1145/3437963.3441762openalex-snapshot
Temporal Meta-path Guided Explainable Recommendation
inferredcites →https://doi.org/10.1145/3511808.3557682openalex-snapshot
Relation-aware Blocking for Scalable Recommendation Systems
inferredcites →https://doi.org/10.1145/564376.564421openalex-snapshot
Methods and metrics for cold-start recommendations
inferredcites →https://doi.org/10.1162/tacl_a_00304openalex-snapshot
Does Syntax Need to Grow on Trees? Sources of Hierarchical Inductive Bias in Sequence-to-Sequence Networks
inferredcites →https://doi.org/10.1177/2053951719860542openalex-snapshot
Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns
inferredcites →https://doi.org/10.1561/1500000066openalex-snapshot
Explainable Recommendation: A Survey and New Perspectives
inferredcites →https://doi.org/10.1609/aaai.v32i1.11330openalex-snapshot
Style Transfer in Text: Exploration and Evaluation
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301346openalex-snapshot
Session-Based Recommendation with Graph Neural Networks
inferredcites →https://doi.org/10.1609/aaai.v34i04.6095openalex-snapshot
Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation
inferredcites →https://doi.org/10.1609/aimag.v38i3.2741openalex-snapshot
European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.185openalex-snapshot
Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation
inferredcites →https://doi.org/10.18653/v1/d18-1openalex-snapshot
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot
Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
inferredcites →https://doi.org/10.3115/v1/p15-1openalex-snapshot
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
inferredcites →https://doi.org/10.48550/arxiv.1707.07435openalex-snapshot
Deep Learning based Recommender System: A Survey and New Perspectives
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s44443-025-00261-6openalex-snapshot
Memory-based collaborative filtering based on matrix factorization and Gower's set rank
inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106837openalex-snapshot
A reliable deep ensemble hybrid model for urban air quality health index forecasting in maritime Canada
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128990openalex-snapshot
Exploiting attributes and keywords for session-based recommendation with multi-view graph neural network
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.133016openalex-snapshot
Adaptive meta-path discovery for dual-stream collaborative knowledge tracing
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123554openalex-snapshot
Adaptive meta-path-based neural network architecture search for heterogeneous graphs
inferred← citeshttps://doi.org/10.1016/j.ipm.2025.104355openalex-snapshot
MUSE-Rec: Explainable multi-behavioral social e-commerce recommendation with integrated link prediction
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113067openalex-snapshot
Preserving high-order ego-centric topological patterns in node representation in heterogeneous graph
inferred← citeshttps://doi.org/10.1109/access.2024.3359274openalex-snapshot
Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets
inferred← citeshttps://doi.org/10.1109/access.2025.3533558openalex-snapshot
SVD-GoRank: Recommender System Algorithm Using SVD and Gower’s Ranking
inferred← citeshttps://doi.org/10.1109/ciotsc67482.2025.11413185openalex-snapshot
Explainable Book Recommendations via Graph Convolutional Networks
inferred← citeshttps://doi.org/10.1109/icde65448.2025.00078openalex-snapshot
Path-Based Summary Explanations for Graph Recommenders
inferred← citeshttps://doi.org/10.1109/icde65706.2026.00133openalex-snapshot
Efficient Meta-Path Constrained Reachability Query on Heterogeneous Information Networks
inferred← citeshttps://doi.org/10.1145/3694784openalex-snapshot
A Survey on Recommender Systems Using Graph Neural Network
inferred← citeshttps://doi.org/10.1145/3702249openalex-snapshot
Introduction to the Special Issue on Trustworthy Recommender Systems
inferred← citeshttps://doi.org/10.1145/3729224openalex-snapshot
CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems
inferred← citeshttps://doi.org/10.1177/14727978251374326openalex-snapshot
Application of graph neural networks (GNNs) in learning situation prediction and educational resource recommendation algorithms
inferred← citeshttps://doi.org/10.1371/journal.pone.0344585openalex-snapshot
KGRec: A knowledge graph attention-based model for recommender system
inferred← citeshttps://doi.org/10.36227/techrxiv.174961563.32605293/v1openalex-snapshot
A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects
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