📃Multilayer Clustered Graph Learning

🗓 Publish year: 2020

🧑‍💻Authors: Mireille El Gheche, Pascal Frossard
🏢Universities: Ecole Polytechnique Fed´ erale de Lausanne (EPFL)

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#paper #Graph_Learning #Multilayer_graph

📃SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

🗓 Publish year: 2023

🧑‍💻Authors: Keyu Duan, Qian Liu,Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He
🏢Universities: ENational University of Singapore, The Hong Kong University of Science and Technology

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#paper #Graph_Learning #Textual

📃 A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges

🗓 Publish year: 2024

🧑‍💻Authors: Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

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#paper #GNN #Imbalance #Noise #Privacy #OOD_Challenges #Survey

📃Graph Condensation: A Survey

🗓 Publish year: 2023

🧑‍💻Authors: Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
🏢Universities: The University of Queensland, Peking University

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#paper #Graph_Condensation #Survey

📃 Explainability in Graph Neural Networks: A Taxonomic Survey

📘 Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
🗓 Publish year: 2022

🧑‍💻Authors: Hao Yuan, Haiyang Yu, Shurui Gui, and Shuiwang Ji
🏢University: Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA

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#paper #Explainability #GNN #Taxonomic #Survey

📃 Recent advances in manufacturing and processing technologies through graph theoretical approach: A survey

🗓 Publish year: 2023
📘 Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence

🧑‍💻Authors: Parthiban Angamuthu;
Ram Dayal; Samdanielthompson Gabriel; Sathish Kumar Krishnamoorthy; Malaya Ranjan Kar
🏢Universities: Lovely Professional University, Madras Christian College,

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#paper #Survey #manufacturing #processing #technologies

📃 Knowledge Graphs and their Applications in Civil Security

🗓 Publish year: 2020

🧑‍💻Authors: Simon Ott, Daria Liakhovets, Mina Schütz, Medina Andresel, Mihai Bartha, Sven Schlarb, Alexander Schindler
🏢University: Austrian Institute of Technology GmbH
Giefinggasse 4, 1210 Vienna, Austria

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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graph #Application #Civil_Security

📃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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#paper #Overview #Knowledge_Graph

📃Graph Machine Learning in the Era of Large Language Models (LLMs)

🗓 Publish year: 2023

🧑‍💻Authors: Wenqi Fan, Shijie Wang, Jiani Huang, Zhikai Chen, Yu Song, Wenzhuo Tang, Haitao Mao, Hui Liu, Xiaorui Liu, Dawei Yin, Qing Li

🏢Universities: The Hong Kong Polytechnic University,Michigan State University, North Carolina State University

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#paper #Graph_Machine_Learning #LLMs

📃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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#paper #Federated_Graph_Neural_Networks #Challenges #Techniques #Overview