Graph neural networks: A review of methods and applications
2020 · AI Open · 5,245 citations
https://doi.org/10.1016/j.aiopen.2021.01.001
C
Cheng Yang
IE University(ES)
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Cheng Yang is an academic researcher from IE University. The author has contributed to research in topics: Advanced Graph Neural Networks & Topic Modeling & Complex Network Analysis Techniques. The author has an h-index of 36, co-authored 275 publications.
ORCID: 0000-0001-7821-0030Papers by this author
worksChatDev: Communicative Agents for Software Development
2023 · arXiv (Cornell University) · 68 citations
https://doi.org/10.48550/arxiv.2307.07924
A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
2022 · AI Open · 63 citations
https://doi.org/10.1016/j.aiopen.2022.03.002
Real-time topic-aware influence maximization using preprocessing
2016 · Computational Social Networks · 37 citations
https://doi.org/10.1186/s40649-016-0033-z
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
2024 · Proceedings of the AAAI Conference on Artificial Intelligence · 14 citations
https://doi.org/10.1609/aaai.v38i8.28776
Adaptive negative representations for graph contrastive learning
2023 · AI Open · 0 citations
https://doi.org/10.1016/j.aiopen.2023.10.005
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