📄Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

📘Journal: IEEE Access (I.F=3.476)

🗓Publish year: 2022

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#paper #Anomaly_Detection #Challenges

📑Challenges and opportunities in network-based solutions for biological questions

📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2022

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📲Channel: @Bioinformatics
#network #challenges

📄Knowledge Graph Completion: A Bird’s Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges

🗓Publish year: 2022

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📱Channel: @ComplexNetworkAnalysis
#paper #Knowledge_Graphs #Embeddings #Software #Applications #Challenges

📄Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

📘Journal: IEEE ACCESS (I.F=3.476)
🗓Publish year: 2022

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📱Channel: @ComplexNetworkAnalysis
#paper #Anomaly #Graph_Neural_Networks #Status #Challenges

📄A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges

🗓Publish year: 2023

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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Prompting #Techniques #Applications #Challenges #Survey

📄Knowledge Graphs: Opportunities and Challenges

📘Journal: Artificial Intelligence Review (I.F=9.588)
🗓Publish year: 2023

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#paper #Knowledge_Graphs #Opportunities #Challenges

📄Construction of Knowledge Graphs: Current State and Challenges

🗓Publish year: 2023

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#paper #Knowledge_Graph #Current_State
#Challenges

📄A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

📘 journal: ACM Computing Surveys (I.F=16.6)
🗓Publish year: 2023

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#paper #Graph #Counterfactual #Explanations #Evaluation #Challenges #survey

📃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

📃 Emerging landscape of molecular interaction networks:
Opportunities, challenges and prospects

🗓 Publish year: 2022
📘Journal: Journal of Biosciences(I.F=2.9)

🧑‍💻Authors: Gauri Panditrao, Rupa Bhowmick, Chandrakala Meena and Ram Rup Sarka
🏢University: Chemical Engineering and Process Development Division, CSIR-National Chemical Laboratory, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India

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#paper #Emerging #landscape #molecular #Opportunities #challenges #prospects