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