📄A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks
📘Journal: SCI REP-UK (I.F=4.996)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Techniques #Inclusion #Domain #Knowledge #Deep_Neural_Networks #Review
📘Journal: SCI REP-UK (I.F=4.996)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Techniques #Inclusion #Domain #Knowledge #Deep_Neural_Networks #Review
🎞 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…
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📄 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
🗓Publish year: 2023
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Graph #Clustering #Taxonomy #Challenge #Application #Open_Resource #survey
❤4👍1
2020_Graph_weeds_net_A_graph_based_deep_learning_method_for_weed.pdf
2.7 MB
📄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
📘 journal: Computers and Electronics in Agriculture (I.F=6.757)
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #graph #deep_learnin #weed_recognition
👍3❤2
2021-Graphnet Graph Clustering with Deep Neural Networks.pdf
2.3 MB
📄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
📘 Conference: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graphnet #Deep_Neural_Networks #Clustering
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📄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 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
📘 Journal: APPLIED SCIENCES-BASEL (I.F=2.7)
🗓Publish year: 2021
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep #Community_Detection #survey
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📄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
📘 Journal: Neurocomputing (I.F= 6)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Deep_learning #POI #recommendation #survey
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📄Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches
📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
📘 Journal: Electronics (I.F=10.835)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Deep_Learning #Review
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📃 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
📎 Study the paper
📱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
📎 Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #Drug #prediction #Deep_learning #knowledge_graph #review
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