An improved heterogeneous graph convolutional network for job recommendation

No abstract is available for this paper.

• Publication year

  2023

• Venue

  Engineering applications of artificial intelligence

• Publication date

  2023-11-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/j.engappai.2023.107147
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification

  2023cited by this paper
• Collaborative filtering recommender systems taxonomy

  2022cited by this paper
• Knowledge Enhanced Person-Job Fit for Talent Recruitment

  2022cited by this paper
• Modeling Two-Way Selection Preference for Person-Job Fit

  2022cited by this paper
• Heterogeneous Learning for Scene Graph Generation

  2022cited by this paper
• Application of Trust in Recommender Systems - Utilizing Naive Bayes Classifier

  2022cited by this paper
• iCGPN: Interaction-centric graph parsing network for human-object interaction detection

  2022cited by this paper
• A class alignment method based on graph convolution neural network for bearing fault diagnosis in presence of missing data and changing working conditions

  2022cited by this paper
• An Intelligent Gearbox Fault Diagnosis under Different Operating Conditions using Adversarial Domain Adaptation

  2022cited by this paper
• Cross-Domain Few-Shot Classification based on Lightweight Res2Net and Flexible GNN

  2022cited by this paper
• Earthquake Magnitude Prediction using Spatia-temporal Features Learning Based on Hybrid CNN- BiLSTM Model

  2021cited by this paper
• Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract)

  2021cited by this paper
• Hypergraph Neural Network for Skeleton-Based Action Recognition

  2021cited by this paper
• Spatial Graph Convolutional Neural Network via Structured Subdomain Adaptation and Domain Adversarial Learning for Bearing Fault Diagnosis

  2021cited by this paper
• Effects of dataset size and interactions on the prediction performance of logistic regression and deep learning models

  2021cited by this paper
• Optimizing Rankings for Recommendation in Matching Markets

  2021cited by this paper
• Context-Aware Graph Inference With Knowledge Distillation for Visual Dialog

  2021cited by this paper
• 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC)

  2021cited by this paper
• Skills prediction based on multi-label resume classification using CNN with model predictions explanation

  2020cited by this paper
• An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment

  2020cited by this paper
• A collaborative filtering recommender system using genetic algorithm

  2020cited by this paper
• Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation

  2020cited by this paper
• A utility-based news recommendation system

  2019cited by this paper
• Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach

  2018cited by this paper
• Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction

  2018cited by this paper
• Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

  2018cited by this paper
• DeepInf: Social Influence Prediction with Deep Learning

  2018cited by this paper
• A Combined Representation Learning Approach for Better Job and Skill Recommendation

  2018cited by this paper
• Learning Loop Invariants for Program Verification

  2018cited by this paper
• Skill discrepancies between research, education, and jobs reveal the critical need to supply soft skills for the data economy

  2018cited by this paper
• Graph Attention Networks

  2017cited by this paper
• Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned

  2017cited by this paper
• Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning

  2017cited by this paper
• Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach

  2017cited by this paper
• Inductive Representation Learning on Large Graphs

  2017cited by this paper
• struc2vec: Learning Node Representations from Structural Identity

  2017cited by this paper
• GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction

  2016cited by this paper
• node2vec: Scalable Feature Learning for Networks

  2016cited by this paper
• Structural Deep Network Embedding

  2016cited by this paper
• Recruitment Market Trend Analysis with Sequential Latent Variable Models

  2016cited by this paper
• LINE: Large-scale Information Network Embedding

  2015cited by this paper
• COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency

  2015cited by this paper
• DeepWalk: online learning of social representations

  2014cited by this paper
• Advances in Collaborative Filtering

  2011cited by this paper
• Support-vector networks

  2004cited by this paper
• Unifying collaborative and content-based filtering

  2004cited by this paper
• Random Forests

  2001cited by this paper
• A Framework for Collaborative, Content-Based and Demographic Filtering

  1999cited by this paper
• Experiments with a New Boosting Algorithm

  1996cited by this paper

• From technology hierarchies to convergence prediction: Integrating graph learning into multi-layer heterogeneous networks

  2026cites this paper
• FedTrustAug: Federated sparse trust augmentation for service recommendation

  2026cites this paper
• Learning Disentangled Representation for Multi-Modal Fusion in Resume-Job Matching

  2025cites this paper
• Explainable person–job recommendations: challenges, approaches, and comparative analysis

  2025cites this paper
• Dual-Branch Mutual Learning Framework for Human Resources Recommendation

  2025cites this paper
• A Lightweight Multicriteria Recommendation Mechanism for Enhancing Doctor–Patient Matching Efficiency on Online Consultation Platforms

  2025cites this paper
• JSHM: A dynamic flexible job-shop scheduling method with human-machine collaboration

  2025cites this paper
• Heterogeneous information-based self-supervised graph learning for recommendation

  2025cites this paper
• Accurate POI recommendation for random groups with improved graph neural networks and a multi-negotiation model

  2025cites this paper
• A dual spatial temporal neural network for bottleneck prediction in manufacturing systems

  2025cites this paper
• A general graph learning based framework for job offer recommender system

  2025cites this paper
• An Interpretable Hypergraph Model for Resume-Job Matching Decision making

  2025cites this paper
• A Hypergraph-based Resume-Job Matching Model for Recommendation

  2024cites this paper
• Understanding and Modeling Job Marketplace with Pretrained Language Models

  2024cites this paper
• Research of a Multi-Level Organization Human Resource Network Optimization Model and an Improved Late Acceptance Hill Climbing Algorithm

  2023cites this paper
• Method for Job Recommendation based on Machine Learning and Deep Learning Model

  2023cites this paper