📄 Survey of Deep Graph Clustering: Taxonomy,Challenge, Application, and Open Resource

🗓Publish year: 2023

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Clustering #Taxonomy #Challenge #Application #Open_Resource #survey

📄Graph weeds net: A graph-based deep learning method for weed recognition

📘 journal: Computers and Electronics in Agriculture (I.F=6.757)
🗓Publish year: 2020

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #graph #deep_learnin #weed_recognition

📄Graphnet: Graph Clustering with Deep Neural Networks

📘 Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
🗓Publish year: 2021

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Graphnet #Deep_Neural_Networks #Clustering

📄Deep Learning on Graphs: A Survey

📘 Journal: IEEE Transactions on Knowledge and Data Engineering
🗓Publish year: 2022

📎Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Deep_learning #Survey

📄A Survey on the Recent Advances of Deep Community Detection

📘 Journal: APPLIED SCIENCES-BASEL (I.F=2.7)
🗓Publish year: 2021

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Community_Detection #survey

📄A survey on deep learning based Point-of-Interest (POI) recommendations

📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020

📎Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey

📄Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches

📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022

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📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review

📃 Drug-drug interactions prediction based on deep learning and knowledge graph: a review

📘 Journal: iScience (I.F=6.107)
🗓 Publish year: 2024

🧑‍💻Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
🏢University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China

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📱Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review

📃 Human DNA/RNA motif mining using deep-learning methods: a scoping review

📘 Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F=1.077)
🗓 Publish year: 2023

🧑‍💻Authors: Rajashree Chaurasia & Udayan Ghose
🏢Universities: Guru Gobind Singh Indraprastha University

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📲Channel: @ComplexNetworkAnalysis
#paper #motif #education #review #DNA #RNA #deep_learning

📃Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction

📘 Journal: Briefings in Bioinformatics(I.F=13.994)
🗓 Publish year: 2023

🧑‍💻Authors: Xuan Lin, Lichang Dai, Yafang Zhou, Zu-Guo Yu, Wen Zhang, Jian-Yu Shi, Dong-Sheng Cao, Li Zeng, Haowen Chen, Bosheng Song, Philip S Yu, Xiangxiang Zeng
🏢Universities: Xiangtan University, Huazhong Agricultural University, Hunan University,

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📲Channel: @ComplexNetworkAnalysis
#paper #drug_drug_interactions #Graph_Learning #deep_learning #prediction

🎓Deep learning for graph structured data

📘Doctoral thesis
🗓Publish year: 2024

🧑‍💻Author: Dwivedi Vijay Prakash
🏢University: Nanyang Technological University, Singapore

📎Study Thesis

📱Channel: @ComplexNetworkAnalysis

#Thesis #Deep_learning #structured_data

📃A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches

🗓 Publish year: 2024
📘Journal: Electronics (I.F=2.6)

🧑‍💻Authors: Prohim Tam ,Seyha Ros ,Inseok Song ,Seungwoo Kang andSeokhoon Kim
🏢University: Soonchunhyang University, Republic of Korea

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📱Channel: @ComplexNetworkAnalysis
#paper #Intelligent #GNN #Deep #Reinforcement_Learning #survey

🎓New graph learning approaches for exploring gene and protein function

📗Doctoral Thesis from ETH Zurich

🗓Publish year: 2024

📎 Study thesis

📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn

📃A Comprehensive Survey on Deep Graph Representation Learning Methods

🗓 Publish year: 2023
📘Journal: Journal of Artificial Intelligence Research

🧑‍💻Authors: Ijeoma Amuche Chikwendu, Xiaoling Zhang, Isaac Osei Agyemang, Isaac Adjei-Mensah
🏢University: University of Electronic Science and Technology of China

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📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Representation_Learning #survey

📃A Comprehensive Survey on Deep Graph Representation Learning

🗓 Publish year: 2024
📘Journal: Neural Networks(I.F=6)

🧑‍💻Authors: Wei Ju a, Zheng Fang b, Yiyang Gu a, Zequn Liu a, Qingqing Long c, Ziyue Qiao d, Yifang Qin a, Jianhao Shen a, Fang Sun e, Zhiping Xiao e, Junwei Yang a, Jingyang Yuan a, Yusheng Zhao a, Yifan Wang f, Xiao Luo e, Ming Zhang
🏢Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.

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📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey

📃A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches

🗓 Publish year: 2024
🧑‍💻Authors: Bin Wu, Sifu Luo and C. Steve Suh

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review

📃Network link prediction via deep learning method: A comparative analysis with traditional methods

🗓 Publish year: 2024
📘Journal: Engineering Science and Technology, an International Journal (I.F=5.1)

🧑‍💻Authors: Gholamreza Zare, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Amir Sahafi

🏢Universities: Islamic Azad University, Qeshm Branch, Qeshm, Iran
Islamic Azad University, Tabriz Branch, Tabriz, Iran
National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan
Western Caspian University, Baku, Azerbaijan
Duy Tan University, Da Nang, Viet Nam
Duy Tan University, School of Medicine and Pharmacy, Da Nang, Viet Nam
Islamic Azad University, South Tehran Branch, Tehran, Iran

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📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_learning #traditional

📄In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends

📘 Journal: Neural Computing and Applications
🗓 Publish year: 2025

🧑‍💻Authors: Shivangi Gheewala, Shuxiang Xu & Soonja Yeom
🏢University: University of Tasmania - Launceston Campus, Australia

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⚡️Channel: @ComplexNetworkAnalysis
#review #recommender_system #deep_learning