📃A Comprehensive Review of Propagation Models in Complex Networks: From Deterministic to Deep Learning Approaches

🗓 Publish year: 2024
🧑‍💻Authors: Bin Wu, Sifu Luo and C. Steve Suh

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Propagation_Models #Deterministic #Deep_learning #review

📃Understanding Graph Databases: A Comprehensive Tutorial and Survey

🗓 Publish year: 2024

🧑‍💻Authors: Sydney Anuyah, Emmanuel Bolade, Oluwatosin Agbaakin
🏢Universities: Indiana University, Indianapolis, IN, USA

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Graph #Database #Tutorial #survey

📄Graph visualization: an in-depth guide

💥Technical paper from Cambridge Intelligence

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📲Channel: @ComplexNetworkAnalysis
#visualization

📄How Graph Neural Networks Facilitate Social Network Analysis

💥Technical Paper

🌐 Study

📲Channel: @ComplexNetworkAnalysis

#paper #Graph #GNN

📃Network analysis and teaching excellence as a concept of relations

🗓 Publish year: 2024
📘Journal: Teaching in Higher Education (I.F=2.4)

🧑‍💻Authors: Aneta Hayes, Nick Garnett
🏢Universities: Keele University, Keele, UK.
Nottingham Trent University, Nottingham, UK.

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #teaching #excellence #relations

📃Research on Topological Characteristics of Spatial Network Based on Complex Network Theory and Its Applications

🗓 Publish year: 2024
📔Journal: Mathematics (I.F=2.3)

🧑‍💻Authors: Siqin Su, Jintao Liu,Yongqi Wang, ...
🏢Universities: Civil Aviation University of China, China

📎 Study paper

⚡️Channel: @ComplexNetworkAnalysis
#review #spatial

📃A survey of data efficient graph learning

🗓 Publish year: 2024

🧑‍💻Authors: Wei Ju, Siyu Yi , Yifan Wang , Qingqing Long , Junyu Luo , Zhiping Xiao , Ming Zhang
🏢Universities: Peking University, Nankai University,University of California Los Angeles

📎 Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Graph #data #Survey

📃Graph Neural Networks: A Bibliometric Mapping of the Research Landscape and Applications

🗓 Publish year: 2024
📘Journal: Information (I.F=2.4)

🧑‍💻Authors: Annielle Mendes Brito da Silva, Natiele Carla da Silva Ferreira, Luiza Amara Maciel Braga, Fabio Batista Mota, Victor Maricato, Luiz Anastacio Alves
🏢Universities: Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Pontifical Catholic University of Rio de Janeiro, Karolinska Institutet

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Mapping #Landscape #Applications

📹Exploring Instagram’s Top 100 Influencers with Gephi: Social Network Analysis & Community Mapping

🎞 Watch

⚡️Channel: @ComplexNetworkAnalysis
#video #gephi #instagram

📃Self-Supervised Temporal Graph Learning with Temporal and Structural Intensity Alignment

🗓 Publish year: 2024

🧑‍💻Authors: Meng Liu, Ke Liang, Yawei Zhao, Wenxuan Tu, Sihang Zhou، Xinbiao Gan, Xinwang Liu
🏢Universities: National University of Defense Technology

📎 Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Graph #SelfSupervised

🎞 An Introduction to Graph Neural Networks: Models and Applications

💥Free Recorded Lecture on Applications of Graph Neural Networks.
🔹Graph Neural Networks (GNN) are a general class of networks that work over graphs. By representing a problem as a graph — encoding the information of individual elements as nodes and their relationships as edges — GNNs learn to capture patterns within the graph. These networks have been successfully used in applications such as chemistry and program analysis. In this introductory talk, I will do a deep dive in the neural message-passing GNNs, and show how to create a simple GNN implementation.

📽 Watch

📱Channel: @ComplexNetworkAnalysis
#video #GNN #Application

📄3D Clustering with Graph Theory: The Complete Guide with Python
💥 Technical paper

📎 Study paper

⚡️Channel: @ComplexNetworkAnalysis
#clustering #python

🎞 Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities

💥Temporal Graph Learning Reading Group

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📱Channel: @ComplexNetworkAnalysis
#video #GNN #Temporal #Challenges #Opportunities

🎓Ensemble approaches for Link Prediction

📕MSc thesis from The University in Stuttgart, Germany

🗓Publish year: 2024

📎 Study thesis

⚡️Channel: @ComplexNetworkAnalysis
#thesis #link_prediction

📃Machine Learning for Refining Knowledge Graphs: A Survey

🗓 Publish year: 2024

🧑‍💻Authors: BUDHITAMA SUBAGDJA, D. SHANTHOSHIGAA, ZHAOXIA WANG, and AH-HWEE TAN
🏢Universities: Singapore Management University

📎 Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Graph #ML #Survey

📃Current and future directions in network biology

🗓 Publish year: 2023
📘Journal: Bioinformatics Advances (I.F=2.4)

🧑‍💻Authors: Marinka Zitnik, Michelle M. Li, Aydin Wells, Kimberly Glass, ...

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #Biology #Direction

📃Self-Supervised Learning for Graph-Structured Data in Healthcare Applications: A Comprehensive Review

🗓 Publish year: 2024

🧑‍💻Authors: Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss, ...
🏢Universities: Prince Sultan University, Saudi Arabia - University of Manouba, Manouba , Tunisia

📎 Study paper

⚡️Channel: @ComplexNetworkAnalysis
#review #self_supervised #gnn

📃Introducing New Node Prediction in Graph Mining:
Predicting All Links from Isolated Nodes with Graph
Neural Networks

🗓 Publish year: 2024

🧑‍💻Authors: Damiano Zanardinia, Emilio Serrano
🏢Universities: Departamento de Inteligencia Artificial, ETSI Inform´aticos, Universidad Polit´ecnica de Madrid, 28660 Boadilla del Monte, Madrid, Spain

📎 Study paper

📱Channel: @ComplexNetworkAnalysis
#paper #GNN #Node #prediction #Isolated

📃A Comprehensive Survey on Automatic Knowledge Graph Construction

🗓 Publish year: 2023

🧑‍💻Authors: LINGFENG ZHONG, JIA WU, QIAN LI, HAO PENG,

🏢Universities: Macquarie University, Beihang University, Hefei University of Technology.

📎 Study paper

📲Channel: @ComplexNetworkAnalysis
#paper #Graph #KnowledgeGraph #Survey