πA Comprehensive Survey on Community Detection with Deep Learning
πJournal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
πJournal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
πPublish year: 2021
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
π1
Complex networks and deep learning for EEG signal analysis.pdf
3 MB
πComplex networks and deep learning for EEG signal analysis
πJournal: Cognitive Neurodynamics (I.F=3.473)
πPublish year: 2021
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #signal_analysis #deep_learning
πJournal: Cognitive Neurodynamics (I.F=3.473)
πPublish year: 2021
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #signal_analysis #deep_learning
πA Survey Of Link Prediction In Social Network Using Deep Learning Approach
πJournal: International Journal of Scientific & Technology Research
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_Learning
πJournal: International Journal of Scientific & Technology Research
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_Learning
π Deep Learning on Graphs
π₯Free online book by Yao Ma and Jiliang Tang
π Study the book
π²Channel: @ComplexNetworkAnalysis
#book #Graph #Deep_Learning
π₯Free online book by Yao Ma and Jiliang Tang
π Study the book
π²Channel: @ComplexNetworkAnalysis
#book #Graph #Deep_Learning
πdeep learning for Complex Networks
π₯research paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #deep_Learning
π₯research paper
π Study
π²Channel: @ComplexNetworkAnalysis
#paper #deep_Learning
TU Delft
Deep learning for complex networks
π 2022 Keynote: Deep learning with Knowledge Graphs
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯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
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
π₯Free recorded Tutorial on Deep learning with Knowledge Graphs
π₯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
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
YouTube
KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's Prof. Jure Leskovec
In this keynote, Stanford University's Professor Jure Leskovec discusses the recent methodological advancements that automatically learn to encode graph structure into low-dimensional embedding.
He also presents the industrial applications, software frameworksβ¦
He also presents the industrial applications, software frameworksβ¦
π2
πDeep Learning on Graphs: A Survey
π Journal: IEEE Transactions on Knowledge and Data Engineering
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #GNN #Deep_learning #Survey
π Journal: IEEE Transactions on Knowledge and Data Engineering
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #GNN #Deep_learning #Survey
π4
πA survey on deep learning based Point-of-Interest (POI) recommendations
π Journal: Neurocomputing (I.F= 6)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
π Journal: Neurocomputing (I.F= 6)
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
π2π€©1
πToward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches
π Journal: Electronics (I.F=10.835)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
π Journal: Electronics (I.F=10.835)
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
β€3π2
π Drug-drug interactions prediction based on deep learning and knowledge graph: a review
π Journal: iScience (I.F=6.107)
π Publish year: 2024
π§βπ»Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
π’University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
π Journal: iScience (I.F=6.107)
π Publish year: 2024
π§βπ»Authors: Huimin Luo, Weijie Yin, Jianlin Wang, Wenjuan Liang, Junwei Luo, Chaokun Yan
π’University: Henan University, Kaifeng, China, Henan Polytechnic University, Jiaozuo, China
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
π1
Human_DNARNA_motif_mining_using_deep_learning_methods_a_scoping.pdf
2.3 MB
π Human DNA/RNA motif mining using deep-learning methods: a scoping review
π Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F=1.077)
π Publish year: 2023
π§βπ»Authors: Rajashree Chaurasia & Udayan Ghose
π’Universities: Guru Gobind Singh Indraprastha University
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #motif #education #review #DNA #RNA #deep_learning
π Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F=1.077)
π Publish year: 2023
π§βπ»Authors: Rajashree Chaurasia & Udayan Ghose
π’Universities: Guru Gobind Singh Indraprastha University
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #motif #education #review #DNA #RNA #deep_learning
π4β€1
πComprehensive evaluation of deep and graph learning on drugβdrug interactions prediction
π Journal: Briefings in Bioinformatics(I.F=13.994)
π Publish year: 2023
π§βπ»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
π’Universities: Xiangtan University, Huazhong Agricultural University, Hunan University,
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #drug_drug_interactions #Graph_Learning #deep_learning #prediction
π Journal: Briefings in Bioinformatics(I.F=13.994)
π Publish year: 2023
π§βπ»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
π’Universities: Xiangtan University, Huazhong Agricultural University, Hunan University,
π Study the paper
π²Channel: @ComplexNetworkAnalysis
#paper #drug_drug_interactions #Graph_Learning #deep_learning #prediction
π2β€1
π Graph Time-series Modeling in Deep Learning: A Survey
π Publish year: 2024
πJournal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)
π§βπ»Authors: Hongjie Che, Hoda Eldardiry
π’University: Virginia Tech, USA
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
π Publish year: 2024
πJournal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)
π§βπ»Authors: Hongjie Che, Hoda Eldardiry
π’University: Virginia Tech, USA
π Study the paper
π±Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
π3
πDeep learning for graph structured data
πDoctoral thesis
πPublish year: 2024
π§βπ»Author: Dwivedi Vijay Prakash
π’University: Nanyang Technological University, Singapore
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Deep_learning #structured_data
πDoctoral thesis
πPublish year: 2024
π§βπ»Author: Dwivedi Vijay Prakash
π’University: Nanyang Technological University, Singapore
πStudy Thesis
π±Channel: @ComplexNetworkAnalysis
#Thesis #Deep_learning #structured_data
π2π1
Forwarded from Bioinformatics
πNew graph learning approaches for exploring gene and protein function
πDoctoral Thesis from ETH Zurich
πPublish year: 2024
π Study thesis
π²Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
πDoctoral Thesis from ETH Zurich
πPublish year: 2024
π Study thesis
π²Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn
πA Comprehensive Survey on Deep Graph Representation Learning
π Publish year: 2024
πJournal: Neural Networks(I.F=6)
π§βπ»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
π’Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
π Publish year: 2024
πJournal: Neural Networks(I.F=6)
π§βπ»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
π’Universities: Peking University, Beijing, 100871, China.
The Hong Kong University of Science and Technology, Guangzhou, 511453, China.
University of California, Los Angeles, 90095, USA.
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #Representation_Learning #survey
πA Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches
π Publish year: 2024
π§βπ»Authors: Bin Wu, Sifu Luo and C. Steve Suh
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review
π Publish year: 2024
π§βπ»Authors: Bin Wu, Sifu Luo and C. Steve Suh
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review
π₯2
πNetwork link prediction via deep learning method: A comparative analysis with traditional methods
π Publish year: 2024
πJournal: Engineering Science and Technology, an International Journal (I.F=5.1)
π§βπ»Authors: Gholamreza Zare, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Amir Sahafi
π’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
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_learning #traditional
π Publish year: 2024
πJournal: Engineering Science and Technology, an International Journal (I.F=5.1)
π§βπ»Authors: Gholamreza Zare, Nima Jafari Navimipour, Mehdi Hosseinzadeh, Amir Sahafi
π’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
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_learning #traditional
πIn-depth survey: deep learning in recommender systemsβexploring prediction and ranking models, datasets, feature analysis, and emerging trends
π Journal: Neural Computing and Applications
π Publish year: 2025
π§βπ»Authors: Shivangi Gheewala, Shuxiang Xu & Soonja Yeom
π’University: University of Tasmania - Launceston Campus, Australia
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #recommender_system #deep_learning
π Journal: Neural Computing and Applications
π Publish year: 2025
π§βπ»Authors: Shivangi Gheewala, Shuxiang Xu & Soonja Yeom
π’University: University of Tasmania - Launceston Campus, Australia
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #recommender_system #deep_learning