On the public citation graph
ASKAT: Aspect Sentiment Knowledge Graph Attention Network for Recommendation
0 signed · 66 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-981-99-8085-7_5openalex-snapshot
Aspect-Based Sentiment Analysis of Racial Issues in Singapore: Enhancing Model Performance Using ChatGPT
inferredcites →https://doi.org/10.1007/s00521-018-3937-8openalex-snapshot
A GA based hierarchical feature selection approach for handwritten word recognition
inferredcites →https://doi.org/10.1007/s10462-016-9475-9openalex-snapshot
Recent automatic text summarization techniques: a survey
inferredcites →https://doi.org/10.1007/s10462-023-10465-9openalex-snapshot
Knowledge Graphs: Opportunities and Challenges
inferredcites →https://doi.org/10.1016/j.dss.2015.03.008openalex-snapshot
Recommender system application developments: A survey
inferredcites →https://doi.org/10.1016/j.eswa.2018.10.003openalex-snapshot
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
inferredcites →https://doi.org/10.1016/j.eswa.2020.113679openalex-snapshot
Automatic text summarization: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.knosys.2013.05.006openalex-snapshot
Preference-based clustering reviews for augmenting e-commerce recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2022.110078openalex-snapshot
AGRE: A knowledge graph recommendation algorithm based on multiple paths embeddings RNN encoder
inferredcites →https://doi.org/10.1016/j.neucom.2020.08.001openalex-snapshot
A multi-task learning model for Chinese-oriented aspect polarity classification and aspect term extraction
inferredcites →https://doi.org/10.1016/j.pisc.2016.06.079openalex-snapshot
Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique
inferredcites →https://doi.org/10.1038/s41598-022-09744-2openalex-snapshot
Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
inferredcites →https://doi.org/10.1109/access.2019.2912200openalex-snapshot
Review of Deep Learning Algorithms and Architectures
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/icebe.2012.12openalex-snapshot
Personalized Recommendation Based on Reviews and Ratings Alleviating the Sparsity Problem of Collaborative Filtering
inferredcites →https://doi.org/10.1109/parc49193.2020.236571openalex-snapshot
Recommendation System using Lexicon Based Sentimental Analysis with collaborative filtering
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.2022.3230975openalex-snapshot
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
inferredcites →https://doi.org/10.1109/tnnls.2020.2978386openalex-snapshot
A Comprehensive Survey on Graph Neural Networks
inferredcites →https://doi.org/10.1109/tnnls.2021.3070843openalex-snapshot
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/2684822.2697033openalex-snapshot
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/3018661.3018665openalex-snapshot
Joint Deep Modeling of Users and Items Using Reviews for Recommendation
inferredcites →https://doi.org/10.1145/3077136.3080777openalex-snapshot
Neural Factorization Machines for Sparse Predictive Analytics
inferredcites →https://doi.org/10.1145/3109859.3109890openalex-snapshot
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
inferredcites →https://doi.org/10.1145/3178876.3186070openalex-snapshot
Neural Attentional Rating Regression with Review-level Explanations
inferredcites →https://doi.org/10.1145/3178876.3186158openalex-snapshot
Coevolutionary Recommendation Model
inferredcites →https://doi.org/10.1145/3308558.3313417openalex-snapshot
Knowledge Graph Convolutional Networks for Recommender Systems
inferredcites →https://doi.org/10.1145/3331184.3331216openalex-snapshot
A Capsule Network for Recommendation and Explaining What You Like and Dislike
inferredcites →https://doi.org/10.1145/3331184.3331267openalex-snapshot
Neural Graph Collaborative Filtering
inferredcites →https://doi.org/10.1145/3414841openalex-snapshot
Personalized Review Recommendation based on Users’ Aspect Sentiment
inferredcites →https://doi.org/10.1145/3477495.3531927openalex-snapshot
A Review-aware Graph Contrastive Learning Framework for Recommendation
inferredcites →https://doi.org/10.1145/3477495.3532009openalex-snapshot
Knowledge Graph Contrastive Learning for Recommendation
inferredcites →https://doi.org/10.1145/3485447.3512083openalex-snapshot
Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning
inferredcites →https://doi.org/10.1145/3488560.3498515openalex-snapshot
Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation
inferredcites →https://doi.org/10.1145/3511019openalex-snapshot
KR-GCN: Knowledge-Aware Reasoning with Graph Convolution Network for Explainable Recommendation
inferredcites →https://doi.org/10.1145/3568022openalex-snapshot
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
inferredcites →https://doi.org/10.1145/3583780.3614752openalex-snapshot
PyABSA: A Modularized Framework for Reproducible Aspect-based Sentiment Analysis
inferredcites →https://doi.org/10.1609/aaai.v28i1.8715openalex-snapshot
TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation
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.v34i05.6383openalex-snapshot
Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.1609/icwsm.v9i1.14585openalex-snapshot
Leveraging Product Adopter Information from Online Reviews for Product Recommendation
inferredcites →https://doi.org/10.18653/v1/n19-1180openalex-snapshot
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
inferredcites →https://doi.org/10.18653/v1/p17-1099openalex-snapshot
Get To The Point: Summarization with Pointer-Generator Networks
inferredcites →https://doi.org/10.18653/v1/p18-1014openalex-snapshot
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
inferredcites →https://doi.org/10.3390/a11090137openalex-snapshot
Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation
inferredcites →https://doi.org/10.3390/electronics11223798openalex-snapshot
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
inferredcites →https://doi.org/10.3390/math9212705openalex-snapshot
Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10489-025-06446-wopenalex-snapshot
HKGAT: heterogeneous knowledge graph attention network for explainable recommendation system
inferred← citeshttps://doi.org/10.1007/s44443-026-00682-xopenalex-snapshot
KnowEntityRec: entity-centric knowledge perception graph neural network for news recommendation
inferred← citeshttps://doi.org/10.1007/s44443-026-00919-9openalex-snapshot
HPNewsRec: Hybrid perception entity-centric personalized news recommendation
inferred← citeshttps://doi.org/10.1038/s41598-025-28266-1openalex-snapshot
Enhancing graph transformer encoding with graph heterogeneous memory for improved recommendation performance
inferred← citeshttps://doi.org/10.1109/cogmi67134.2025.00050openalex-snapshot
Toward User Preference Alignment in LLM Recommendation via Explicit Context Feedback
inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00284openalex-snapshot
Aspect-Aware Sentiment Interaction Modeling with DeBERTa for Enhanced Review-Based Recommendations
inferred← citeshttps://doi.org/10.1145/3773078.3831784openalex-snapshot
Assessing Sentiment Semantics in KG-Based Explainable Recommender Systems
inferred← citeshttps://doi.org/10.3390/electronics13142811openalex-snapshot
Explicitly Exploiting Implicit User and Item Relations in Graph Convolutional Network (GCN) for Recommendation
inferred← citeshttps://doi.org/10.3390/electronics14183734openalex-snapshot
A Review of Click-Through Rate Prediction Using Deep Learning
inferred← citeshttps://doi.org/10.51583/ijltemas.2025.1412000098openalex-snapshot
Enhancing E-Commerce Recommender System Inputs Using Transformer-Based Aspect-Based Sentiment Analysis
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.