Mingkai He

Orcid: 0000-0002-3017-9596

According to our database1, Mingkai He authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation.
Frontiers Comput. Sci., October, 2023

Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets.
Inf. Sci., April, 2023

FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation.
ACM Trans. Intell. Syst. Technol., February, 2023

2022
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering.
Inf. Sci., 2022

TransRec++: Translation-based sequential recommendation with heterogeneous feedback.
Frontiers Comput. Sci., 2022

Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

User-Event Graph Embedding Learning for Context-Aware Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Dual-Task Learning for Multi-Behavior Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems.
CoRR, 2021

2018
Ensemble Clustering by Noise-Aware Graph Decomposition.
Proceedings of the 6th International Conference on Information Technology: IoT and Smart City, 2018


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