Network Analysis Resources & Updates

📃 A Survey on Temporal Knowledge Graph: Representation Learning and Applications

🗓 Publish year: 2024

🧑‍💻Authors: JLi Cai, Xin Mao, Yuhao Zhou, Zhaoguang Long, Changxu Wu, Man Lan
🏢Universities: East China Nomal University, Guizhou University, Tsinghua University

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📱Channel: @ComplexNetworkAnalysis
#paper #Temporal #Knowledge_Graph #Representation_Learning #Application #survey

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993 views19:35

Network Analysis Resources & Updates

📃 Higher-Order Networks Representation and Learning: A Survey

🗓 Publish year: 2024

🧑‍💻Authors: Hao Tian and Reza Zafarani
🏢Universities: Syracuse University

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📲Channel: @ComplexNetworkAnalysis
#paper #Higher_Order #Survey

👍6

900 viewsedited 21:20

Network Analysis Resources & Updates

📄Data Mining Graphs and Networks

💥Technical Paper

💥Graph mining is a process in which the mining techniques are used in finding a pattern or relationship in the given real-world collection of graphs. By mining the graph, frequent substructures and relationships can be identified which helps in clustering the graph sets, finding a relationship between graph sets, or discriminating or characterizing graphs. Predicting these patterning trends can help in building models for the enhancement of any application that is used in real-time. To implement the process of graph mining, one must learn to mine frequent subgraphs.

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📲Channel: @ComplexNetworkAnalysis

#paper #Graph #code

GeeksforGeeks

Data Mining Graphs and Networks - GeeksforGeeks

A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

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1.11K views13:17

Network Analysis Resources & Updates

📃 Link Prediction Using Graph Neural Networks for Recommendation Systems

📘 Journal: Procedia Computer Science
🗓 Publish year: 2023

🧑‍💻Authors: Hmaidi Safae, Lazaar Mohamed , Abdellah Chehri , El Madani El Alami Yasser , Rachid Saadane
🏢Universities: University in Rabat, Rabat, Morocco, Royal Military College of Canada

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📱Channel: @ComplexNetworkAnalysis
#paper #Link_Prediction #GNN #Recommender_Systems

👍7

950 viewsedited 18:17

Network Analysis Resources & Updates

📄Intro to Gephi & Visualize clusters

💥Goals:
-Learn how to use Gephi
-Explore a directed network
-Export a network map
-Annotate clusters

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📲Channel: @ComplexNetworkAnalysis

#paper #Gephi

👍8

1.29K viewsedited 19:49

Network Analysis Resources & Updates

📃 Progress on network modeling and analysis of gut microecology: a review

📘 Journal: Applied and Environmental Microbiology (I.F=4.4)
🗓 Publish year: 2024

🧑‍💻Authors: Meng Luo, Jinlin Zhu, Jiajia Jia, Hao Zhang, Jianxin Zhao
🏢University: Jiangnan University

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📱Channel: @ComplexNetworkAnalysis
#paper #Progress #gut #microecology #review

👍3

794 views17:31

Network Analysis Resources & Updates

📄The Essential Guide to GNN (Graph Neural Networks)

💥Technical Paper

💥 Graph neural networks (GNNs) are a set of deep learning methods that work in the graph domain. These networks have recently been applied in multiple areas including; combinatorial optimization, recommender systems, computer vision – just to mention a few. These networks can also be used to model large systems such as social networks, protein-protein interaction networks, knowledge graphs among other research areas. Unlike other data such as images, graph data works in the non-euclidean space. Graph analysis is therefore aimed at node classification, link prediction, and clustering.

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📲Channel: @ComplexNetworkAnalysis

#paper #Graph #code #GNN

cnvrg

The Essential Guide to GNN (Graph Neural Networks) | Intel® Tiber™ AI Studio

Graph neural networks (GNNs) are a set of deep learning methods that work in the graph domain. These networks have recently been applied in multiple areas

👍5

921 viewsedited 19:40

Network Analysis Resources & Updates

📄What Are Graph Neural Networks? How GNNs Work, Explained with Examples

💥Technical Paper

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📲Channel: @ComplexNetworkAnalysis

#paper #Graph #code #GNN #python

freeCodeCamp.org

What Are Graph Neural Networks? How GNNs Work, Explained with Examples

By Rishit Dagli Graph Neural Networks are getting more and more popular and are being used extensively in a wide variety of projects. In this article, I help you get started and understand how graph neural networks work while also trying to address t...

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1.53K viewsedited 21:08

Network Analysis Resources & Updates

📃 Toward Point-of-Interest Recommendation Systems: A Critical Review on Deep-Learning Approaches

📘 Journal: Electronics (I.F=2.9)
🗓 Publish year: 2022

🧑‍💻Authors: Sadaf Safavi ,Mehrdad Jalali ,Mahboobeh Houshmand
🏢Universities: Islamic Azad University, Karlsruhe Institute of Technology

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📲Channel: @ComplexNetworkAnalysis
#paper #Recommendation_Systems #Review

👍4

843 viewsedited 12:37

Network Analysis Resources & Updates

📃 A review on graph neural networks for predicting synergistic drug combinations

📘 Journal: Artificial Intelligence Review (I.F=12)
🗓 Publish year: 2024

🧑‍💻Authors: Milad Besharatifard, Fatemeh Vafaee
🏢University: University of New South Wales (UNSW), Sydney, Australia

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📱Channel: @ComplexNetworkAnalysis
#paper #GNN #predicting #synergistic #drug_combinations #review

👍5❤1👏1

5.06K views16:48

Network Analysis Resources & Updates

A_review_on_graph_based_approaches_for_network_security_monitoring.pdf

1.1 MB

📃 A review on graph-based approaches for network security monitoring and botnet detection

📘 Journal: International Journal of Information Security (I.F=3.2)
🗓 Publish year: 2024

🧑‍💻Authors: Sofiane Lagraa, Martin Husák, Hamida Seba, Satyanarayana Vuppala, Radu State & Moussa Ouedraogo
🏢Universities: University of Luxembourg,Masaryk University

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📲Channel: @ComplexNetworkAnalysis
#paper #network_security_monitoring #botnet_detection #Review

❤2🔥2👍1👏1

846 viewsedited 20:51

Network Analysis Resources & Updates

📄Introducing TensorFlow Graph Neural Networks

💥Technical Paper

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📲Channel: @ComplexNetworkAnalysis

#paper #Graph #code #TensorFlow #python

blog.tensorflow.org

Introducing TensorFlow Graph Neural Networks

Introducing TensorFlow GNN, a library to build Graph Neural Networks on the TensorFlow
platform.

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1.35K viewsedited 20:24

Network Analysis Resources & Updates

📄Graph-Based Data Science, Machine Learning, and AI

💥Technical Paper

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📲Channel: @ComplexNetworkAnalysis

#paper #Graph #AI #Data_Science #Machine_Learning

DZone

Graph-Based Data Science, Machine Learning, and AI

What does graphing have to do with machine learning and data science? A lot, actually — learn more in The Year of the Graph Newsletter's Spring 2021 edition.

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1.35K views22:31

Network Analysis Resources & Updates

📃 Recommendation Systems for Education: Systematic Review

📘 Journal: Electronics (I.F=2.9)
🗓 Publish year: 2021

🧑‍💻Authors: María Cora Urdaneta-Ponte, Amaia Mendez-Zorrilla, Ibon Oleagordia-Ruiz
🏢Universities: University of Deusto, Andres Bello Catholic University (UCAB)

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📱Channel: @ComplexNetworkAnalysis
#paper #Recommender_Systems #Education #review

👍3

891 views14:40

Network Analysis Resources & Updates

🔊 Important Reminder:

💥 Deadline Approaching for

📓 "Advances in Graph-Based Data Mining" Special Issue

🔶Topics:
▫️graph-based data mining
▫️network analysis
▫️graph algorithms
▫️graph neural networks
▫️community detection
▫️complex data relationships
▫️knowledge extraction

🌐 More information & Submission

📲Channel: @ComplexNetworkAnalysis
#journal #special_issue

👍3

853 views07:22

Network Analysis Resources & Updates

📃 A social network of crime: A review of the use of social networks for crime and the detection of crime

📘 Journal: Online Social Networks and Media (I.F=7.61)
🗓 Publish year: 2024

🧑‍💻Authors: Brett Drury, Samuel Morais Drury, Md Arafatur Rahman, Ihsan Ullah
🏢Universities: National University of Ireland Galway, University College Dublin, Liverpool Hope University, University Malaysia Pahang

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📲Channel: @ComplexNetworkAnalysis
#paper #crime #social_network #Review

👍4

990 views14:58

Network Analysis Resources & Updates

📃 Social search: Retrieving information in Online Social platforms – A survey

📘 Journal: Online Social Networks and Media
🗓 Publish year: 2023

🧑‍💻Authors: Maddalena Amendola, Andrea Passarella, Raffaele Perego
🏢University: University of Pisa

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📱Channel: @ComplexNetworkAnalysis
#paper #Social #Retrieving_information #survey

👍5

1.33K views15:49

Network Analysis Resources & Updates

🎞 Machine Learning with Graphs: Graph Neural Networks in Computational Biology

💥Free recorded course by Prof. Marinka Zitnik

💥In this lecture, Prof. Marinka gives an overview of why graph learning techniques can greatly help with computational biology research. Concretely, this talk covers 3 exemplar use cases: (1) Discovering safe drug-drug combinations via multi-relational link prediction on heterogenous knowledge graphs; (2) Classify patient outcomes and diseases via learning subgraph embeddings; and (3) Learning effective disease treatments through few-shot learning for graphs.

📽 Watch

📲Channel: @ComplexNetworkAnalysis

#video #course #Graph #GNN #Machine_Learning #computational_biology

YouTube

Stanford CS224W: Machine Learning with Graphs | 2021 | Lecture 18 - GNNs in Computational Biology

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/2XVImFC

Lecture 18 - Graph Neural Networks in Computational Biology
Jure Leskovec
Computer Science, PhD

We are glad to invite Prof.…

👍4🎉1

6.51K viewsedited 22:59

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