📄Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Acceleration #Survey
🗓Publish year: 2022
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #Acceleration #Survey
📄Representation Learning on Graphs: Methods and Applications
📘Journal: IEEE Data Engineering Bulletin
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning
📘Journal: IEEE Data Engineering Bulletin
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Representation_Learning
🎞 Graph Search, Shortest Paths, and Data Structures
💥Free recorded course by Tim Roughgarden
💥The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph
💥Free recorded course by Tim Roughgarden
💥The primary topics in this part of the specialization are: data structures (heaps, balanced search trees, hash tables, bloom filters), graph primitives (applications of breadth-first and depth-first search, connectivity, shortest paths), and their applications (ranging from deduplication to social network analysis).
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph
Coursera
Graph Search, Shortest Paths, and Data Structures
Offered by Stanford University. The primary topics in ... Enroll for free.
📘 Graph Representation Learning
💥Free online book by William L. Hamilton
🗓Publish year: 2020
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #Graph
💥Free online book by William L. Hamilton
🗓Publish year: 2020
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #Graph
📄Machine learning on Graphs course: Pre-requisites
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Graph #TensorFlow
💥Technical paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning #Graph #TensorFlow
Medium
Machine learning on Graphs course: Pre-requisites
(This is part of a four part course hosted by Octavian.ai this summer)
📄Deep Graph Learning: Foundations, Advances and Applications
📘Conference: 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph
📘Conference: 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
🗓Publish year: 2020
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Graph
📘 Network Science
💥Free online book by Albert-László Barabási
💥The book is the result of a collaboration between a number of individuals, shaping everything, from content (Albert-László Barabási), to visualizations and interactive tools (Gabriele Musella, Mauro Martino, Nicole Samay, Kim Albrecht), simulations and data analysis (Márton Pósfai). The printed version of the book will be published by Cambridge University Press in 2015. In the coming months the website will be expanded with an interactive version of the text, datasets, and slides to teach the material.
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#online_book
💥Free online book by Albert-László Barabási
💥The book is the result of a collaboration between a number of individuals, shaping everything, from content (Albert-László Barabási), to visualizations and interactive tools (Gabriele Musella, Mauro Martino, Nicole Samay, Kim Albrecht), simulations and data analysis (Márton Pósfai). The printed version of the book will be published by Cambridge University Press in 2015. In the coming months the website will be expanded with an interactive version of the text, datasets, and slides to teach the material.
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#online_book
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2019_Survey_on_Opinion_Leader_in_Social_Network_using_Data_Mining.pdf
434.7 KB
📄Survey on Opinion Leader in Social Network using Data Mining
📘Conference: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Data_Mining
📘Conference: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Data_Mining
🎞 Machine learning on graphs
💥Free recorded course by Alexander S. Kulikov
💥The course has a couple of components:
▪️Projects - Google Colab documents that guide you through writing python and TensorFlow code to solve problems.
▪️Project solutions - A week after a project is published, the solution will be published. It'll be linked to from the original project so as not to spoil the project for new visitors.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_learning #code #python
💥Free recorded course by Alexander S. Kulikov
💥The course has a couple of components:
▪️Projects - Google Colab documents that guide you through writing python and TensorFlow code to solve problems.
▪️Project solutions - A week after a project is published, the solution will be published. It'll be linked to from the original project so as not to spoil the project for new visitors.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph #Machine_learning #code #python
📄Utilizing graph machine learning within drug discovery and development
📘Journal: Briefings in Bioinformatics(I.F=11.622)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #machine_learning
📘Journal: Briefings in Bioinformatics(I.F=11.622)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #machine_learning
📘 Deep Learning on Graphs
💥Free online book by Yao Ma and Jiliang Tang
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #Graph #Deep_Learning
💥Free online book by Yao Ma and Jiliang Tang
📎 Study the book
📲Channel: @ComplexNetworkAnalysis
#book #Graph #Deep_Learning
🎞Trees and Graphs: Basics
💥Free recorded course by Sriram Sankaranarayanan
💥Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph
💥Free recorded course by Sriram Sankaranarayanan
💥Basic algorithms on tree data structures, binary search trees, self-balancing trees, graph data structures and basic traversal algorithms on graphs. This course also covers advanced topics such as kd-trees for spatial data and algorithms for spatial data.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph
Coursera
Trees and Graphs: Basics
Offered by University of Colorado Boulder. Basic ... Enroll for free.
2018_A_Systematic_Survey_of_Opinion_Leader_in_Online_Social_Network.pdf
216 KB
📄A Systematic Survey of Opinion Leader in Online Social Network
📘Conference: 2018 International Conference on Soft-computing and Network Security (ICSNS)
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey
📘Conference: 2018 International Conference on Soft-computing and Network Security (ICSNS)
🗓Publish year: 2018
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Survey
🎞 Introduction to Graph Theory
💥Free recorded course by Alexander S. Kulikov
💥In this online course, among other intriguing applications, we will see how GPS systems find shortest routes, how engineers design integrated circuits, how biologists assemble genomes, why a political map can always be colored using a few colors. We will study Ramsey Theory which proves that in a large system, complete disorder is impossible!
By the end of the course, we will implement an algorithm which finds an optimal assignment of students to schools.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph
💥Free recorded course by Alexander S. Kulikov
💥In this online course, among other intriguing applications, we will see how GPS systems find shortest routes, how engineers design integrated circuits, how biologists assemble genomes, why a political map can always be colored using a few colors. We will study Ramsey Theory which proves that in a large system, complete disorder is impossible!
By the end of the course, we will implement an algorithm which finds an optimal assignment of students to schools.
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Graph
Coursera
Introduction to Graph Theory
Offered by University of California San Diego. We invite ... Enroll for free.
📄Nature‑inspired optimization algorithms for community detection in complex networks: a review and future trends
📘Journal: Telecommunication Systems(I.F=2.336)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #optimization_algorithms #community #trends #review
📘Journal: Telecommunication Systems(I.F=2.336)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #optimization_algorithms #community #trends #review
🎞 Machine learning and link prediction
💥Free recorded tutorial by Mark Needham & Jennifer Reif
💥In this session, will show what graph has to offer and show an example applying link prediction analysis to estimate how likely academic authors are to collaborate with new co-authors in the future
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Machine_learning
💥Free recorded tutorial by Mark Needham & Jennifer Reif
💥In this session, will show what graph has to offer and show an example applying link prediction analysis to estimate how likely academic authors are to collaborate with new co-authors in the future
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Machine_learning
YouTube
Machine learning and link prediction by Mark Needham & Jennifer Reif
Machine learning uses algorithms to train software through specific examples and progressive improvements based on expected outcome. However, traditional data structures can fail to detect behavior without the contextual information because they lack the…
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2021_New_research_methods_&_algorithms_in_social_network_analysis.pdf
525.4 KB
📄New research methods & algorithms in social network analysis
📘Journal: Future Generation Computer Systems (I.F=8.872 )
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #social_network
📘Journal: Future Generation Computer Systems (I.F=8.872 )
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #social_network
2020-Finding key players in complex networks through.pdf
2.4 MB
📄Finding key players in complex networks through deep reinforcement learning
📘Journal: Nature Machine Intelligence (I.F=25.9)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #deep_reinforcement_learning
📘Journal: Nature Machine Intelligence (I.F=25.9)
🗓Publish year: 2021
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #deep_reinforcement_learning
📄deep learning for Complex Networks
💥research paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #deep_Learning
💥research paper
🌐 Study
📲Channel: @ComplexNetworkAnalysis
#paper #deep_Learning
TU Delft
Deep learning for complex networks
📄Complex Networks and Machine Learning: From Molecular to Social Sciences
📘Journal: applied science (I.F=2.679)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning
📘Journal: applied science (I.F=2.679)
🗓Publish year: 2019
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Machine_Learning