📄A Comprehensive Survey on Community Detection with Deep Learning
📘Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
📘Journal: IEEE Transactions on Neural Networks and Learning Systems(I.F=14.255)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #community_detection #deep_learning #survey
👍1
Complex networks and deep learning for EEG signal analysis.pdf
3 MB
📄Complex networks and deep learning for EEG signal analysis
📘Journal: Cognitive Neurodynamics (I.F=3.473)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #signal_analysis #deep_learning
📘Journal: Cognitive Neurodynamics (I.F=3.473)
🗓Publish year: 2021
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📲Channel: @ComplexNetworkAnalysis
#paper #signal_analysis #deep_learning
📄A Survey Of Link Prediction In Social Network Using Deep Learning Approach
📘Journal: International Journal of Scientific & Technology Research
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_Learning
📘Journal: International Journal of Scientific & Technology Research
🗓Publish year: 2020
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #Deep_Learning
📘 Deep Learning on Graphs
💥Free online book by Yao Ma and Jiliang Tang
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📲Channel: @ComplexNetworkAnalysis
#book #Graph #Deep_Learning
💥Free online book by Yao Ma and Jiliang Tang
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📲Channel: @ComplexNetworkAnalysis
#book #Graph #Deep_Learning
📄deep learning for Complex Networks
💥research paper
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📲Channel: @ComplexNetworkAnalysis
#paper #deep_Learning
💥research paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #deep_Learning
TU Delft
Deep learning for complex networks
🎞 2022 Keynote: Deep learning with Knowledge Graphs
💥Free recorded Tutorial on Deep learning with Knowledge Graphs
💥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
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Deep_learning #knowledge_graphs
YouTube
"Graph Neural Networks and Knowledge Graph
💥Free recorded Tutorial on Deep learning with Knowledge Graphs
💥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
📽 Watch
📱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 frameworks…
He also presents the industrial applications, software frameworks…
👍2
📄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
📘 Journal: IEEE Transactions on Knowledge and Data Engineering
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #GNN #Deep_learning #Survey
👍4
📄A survey on deep learning based Point-of-Interest (POI) recommendations
📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020
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📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
👍2🤩1
📄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
📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022
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📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
❤3👍2
📃 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
📘 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
👍1
Human_DNARNA_motif_mining_using_deep_learning_methods_a_scoping.pdf
2.3 MB
📃 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
📘 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
👍4❤1
📃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
📘 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
👍2❤1
📃 Graph Time-series Modeling in Deep Learning: A Survey
🗓 Publish year: 2024
📘Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)
🧑💻Authors: Hongjie Che, Hoda Eldardiry
🏢University: Virginia Tech, USA
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
🗓 Publish year: 2024
📘Journal: ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA (I.F=3.6)
🧑💻Authors: Hongjie Che, Hoda Eldardiry
🏢University: Virginia Tech, USA
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📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Time_series #Deep_learning #survey
👍3
🎓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
📘Doctoral thesis
🗓Publish year: 2024
🧑💻Author: Dwivedi Vijay Prakash
🏢University: Nanyang Technological University, Singapore
📎Study Thesis
📱Channel: @ComplexNetworkAnalysis
#Thesis #Deep_learning #structured_data
👍2👏1
Forwarded from Bioinformatics
🎓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
📗Doctoral Thesis from ETH Zurich
🗓Publish year: 2024
📎 Study thesis
📲Channel: @Bioinformatics
#thesis #network #gene #protein #graph #deep_learning #gnn