📄Graph Neural Networks: a bibliometrics overview

📘Journal: Machine Learning with Applications (MLWA)

🗓Publish year: 2022

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📄Tensor decomposition for analysing time-evolving social networks: an overview

📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2020

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📄Graph neural networks for affective social media: A comprehensive overview

📘Conference: THECOG
🗓Publish year: 2022

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📄Blockchain Data Analysis from the Perspective of Complex Networks: Overview

📘Journal: Tsinghua Science and Technology (I.F=3.515)
🗓Publish year: 2022

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🎞 Overview of Complex Networks

💥Free recorded Tutorial on overview of complex networks

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📄Deep Learning with Graph Convolutional Networks: An Overview and Latest Applications in Computational Intelligence

📘 Journal: International journal of intelligent systems (IF=7)
🗓Publish year: 2023

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📄The Four Dimensions of Social Network Analysis: An Overview of Research Methods, Applications, and Software Tools

🗓Publish year: 2020

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📃Knowledge Graph Embedding: An Overview

🗓 Publish year: 2024
📘 Journal: APSIPA Transactions on Signal and Information Processing (I.F=3.2)

🧑‍💻Authors: Xiou Ge, Yun Cheng Wang, Bin Wang, C.-C. Jay Kuo
🏢Universities: University of Southern California, Institute for Infocomm Research (I2R)

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📃Federated Graph Neural Networks: Overview, Techniques, and Challenges

🗓 Publish year: 2024
📘 Journal: IEEE Transactions on Neural Networks and Learning Systems (I.F=14.255)

🧑‍💻Authors: Rui Liu , Pengwei Xing , Zichao Deng, Anran Li , Cuntai Guan , Fellow, IEEE, and Han Yu
🏢Universities: Nanyang Technological University

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