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πŸ“„A Comprehensive Survey on Community Detection with Deep Learning

πŸ“˜
Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)

πŸ—“Publish year: 2021

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
πŸ‘1
Complex networks and deep learning for EEG signal analysis.pdf
3 MB
πŸ“„Complex networks and deep learning for EEG signal analysis

πŸ“˜
Journal: Cognitive Neurodynamics (I.F=3.473)

πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #signal_analysis #deep_learning
πŸ“„A Survey Of Link Prediction In Social Network Using Deep Learning Approach

πŸ“˜
Journal: International Journal of Scientific & Technology Research

πŸ—“Publish year: 2020

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_Learning
πŸ“˜ Deep Learning on Graphs

πŸ’₯
Free online book by Yao Ma and Jiliang Tang

πŸ“Ž Study the book

πŸ“²Channel: @ComplexNetworkAnalysis

#book #Graph #Deep_Learning
πŸ“„deep learning for Complex Networks

πŸ’₯research paper

🌐 Study

πŸ“²Channel: @ComplexNetworkAnalysis

#paper #deep_Learning
🎞 2022 Keynote: Deep learning with Knowledge Graphs

πŸ’₯Free recorded Tutorial on Deep learning with Knowledge Graphs

πŸ’₯In this talk will discuss recent methodological advancements that automatically learn to encode graph structure into low-dimensional embeddings. will also discuss industrial applications, software frameworks, benchmarks, and challenges with scaling-up graph learning systems

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Deep_learning #knowledge_graphs

YouTube
"Graph Neural Networks and Knowledge Graph
πŸ‘2
πŸ“„Deep Learning on Graphs: A Survey

πŸ“˜ Journal: IEEE Transactions on Knowledge and Data Engineering
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #GNN #Deep_learning #Survey
πŸ‘4
πŸ“„A survey on deep learning based Point-of-Interest (POI) recommendations

πŸ“˜
Journal: Neurocomputing (I.F= 6)
πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
πŸ‘2🀩1
πŸ“„Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches

πŸ“˜ Journal: Electronics (I.F=10.835)
πŸ—“Publish year: 2022

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
❀3πŸ‘2
πŸ“ƒ Drug-drug interactions prediction based on deep learning and knowledge graph: a review

πŸ“˜ Journal: iScience (I.F=6.107)
πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
🏒University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
πŸ‘1
Human_DNARNA_motif_mining_using_deep_learning_methods_a_scoping.pdf
2.3 MB
πŸ“ƒ Human DNA/RNA motif mining using deep-learning methods: a scoping review

πŸ“˜ Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F=1.077)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Rajashree Chaurasia & Udayan Ghose
🏒Universities: Guru Gobind Singh Indraprastha University

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #motif #education #review #DNA #RNA #deep_learning
πŸ‘4❀1
πŸ“ƒComprehensive evaluation of deep and graph learning on drug–drug interactions prediction

πŸ“˜ Journal: Briefings in Bioinformatics(I.F=13.994)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»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,

πŸ“Ž Study the paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #drug_drug_interactions #Graph_Learning #deep_learning #prediction
πŸ‘2❀1
πŸ“ƒ Graph Time-series Modeling in Deep Learning: A Survey

πŸ—“ Publish year: 2024
πŸ“˜Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)

πŸ§‘β€πŸ’»Authors: Hongjie Che, Hoda Eldardiry
🏒University: Virginia Tech, USA

πŸ“Ž Study the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
πŸ‘3
πŸŽ“Deep learning for graph structured data

πŸ“˜Doctoral thesis
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Author: Dwivedi Vijay Prakash
🏒University: Nanyang Technological University, Singapore

πŸ“ŽStudy Thesis

πŸ“±Channel: @ComplexNetworkAnalysis

#Thesis #Deep_learning #structured_data
πŸ‘2πŸ‘1
Forwarded from Bioinformatics
πŸŽ“New graph learning approaches for exploring gene and protein function

πŸ“—Doctoral Thesis from ETH Zurich

πŸ—“Publish year: 2024

πŸ“Ž Study thesis

πŸ“²Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
πŸ“ƒA Comprehensive Survey on Deep Graph Representation Learning

πŸ—“ Publish year: 2024
πŸ“˜Journal: Neural Networks(I.F=6)

πŸ§‘β€πŸ’»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.


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
πŸ“ƒA Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches

πŸ—“ Publish year: 2024
πŸ§‘β€πŸ’»Authors: Bin Wu, Sifu Luo and C. Steve Suh

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review
πŸ”₯2
πŸ“ƒNetwork link prediction via deep learning method: A comparative analysis with traditional methods

πŸ—“ Publish year: 2024
πŸ“˜
Journal: Engineering Science and Technology, an International Journal (I.F=5.1)

πŸ§‘β€πŸ’»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


πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_learning #traditional
πŸ“„In-depth survey: deep learning in recommender systemsβ€”exploring prediction and ranking models, datasets, feature analysis, and emerging trends

πŸ“˜ Journal: Neural Computing and Applications
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Shivangi Gheewala, Shuxiang Xu & Soonja Yeom
🏒University: University of Tasmania - Launceston Campus, Australia

πŸ“Ž Study the paper

⚑️Channel: @ComplexNetworkAnalysis
#review #recommender_system #deep_learning