Financial Crime and Corruption Network Motifs
In this series of posts I make an appeal to organize global financial institutions and RiskTech vendors to collaborate on an open-source repository of financial risk patterns called network motifs to…
GraphNews
Graph theory
I work with graphs every day. This simple question left me speechless. During a meeting with a customer I started a sentence saying "In graph theory this… | 28 comments on LinkedIn
What is the path in this supply chain that leads to the least CO2 emissions?
If you care about sustainability, I have a data challenge to pull your hair out. What is the path in this supply chain that leads to the least CO2 emissions?…
What is the path in this supply chain that leads to the least CO2 emissions?
graphgeeks-lab/awesome-graph-universe: A curated list of resources for graph-related topics, including graph databases, analytics and science
A curated list of resources for graph-related topics, including graph databases, analytics and science - graphgeeks-lab/awesome-graph-universe
Awesome Graph Universe 🌐
Welcome to Awesome Graph Universe, a curated list of resources, tools, libraries, and applications for working with graphs and networks. This repository covers everything from Graph Databases and Knowledge Graphs to Graph Analytics, Graph Computing, and beyond.
Graphs and networks are essential in fields like data science, knowledge representation, machine learning, and computational biology. Our goal is to provide a comprehensive resource that helps researchers, developers, and enthusiasts explore and utilize graph-based technologies.
Feel free to contribute by submitting pull requests! 🚀
Simplifying Complex Graphs with Nested Nodes and Edges
Simplifying Complex Graphs with Nested Nodes and Edges: A Challenge Navigating massive graphs with nested nodes, including groups within groups, can feel like… | 34 comments on LinkedIn
Simplifying Complex Graphs with Nested Nodes and Edges
Tools for Advancing Analytic Tradecraft
Intelligence analysis utilizing Esri’s analytical, graph, and motion imagery capabilities, all within the same workflow.
Episode #212: Digging Into Graph Theory in Python With David Amos – The Real Python Podcast
Have you wondered about graph theory and how to start exploring it in Python? What resources and Python libraries can you use to experiment and learn more? This week on the show, former co-host David Amos returns to talk about what he's been up to and share his knowledge about graph theory in Python.
Graph-Powered Analytics And Machine Learning With TigerGraph
Graph-Powered Analytics And Machine Learning With TigerGraph - Driving Business Outcomes with Connected Data
Interactive Network Graphs for Uncovering Complex Multicollinearity
Interactive Network Graphs for Uncovering Complex Multicollinearity 🕸️ Visualize multicollinearity in large datasets with interactive network graphs using… | 18 comments on LinkedIn
Interactive Network Graphs for Uncovering Complex Multicollinearity
Neo4j-Databricks Connector Delivers Deeper Insights, Faster GenAI Development - Graph Database & Analytics
Explore how using Neo4j Graph Database and Databricks together can deliver groundbreaking analytics and GenAI outcomes.
GraphGeeks Talk Ep6: RDF vs Property Graphs: Ask Me Anything
Graphs are changing the way we model, store, and query complex data. But when it comes to choosing the right type of graph model, the decision often boils do...
The nature of complex networks book
— Sergey Dorogovtsev (@dorogovtsev)
Static Graph Approximations of Dynamic Contact Networks for Epidemic Forecasting
Excited to share that our recent work "Static Graph Approximations of Dynamic Contact Networks for Epidemic Forecasting" is published at Scientific Reports…
Static Graph Approximations of Dynamic Contact Networks for Epidemic Forecasting
Working with Graphs: Pre-training and Application
Latest findings in pre-training graphs and using them for link recommendation
IDJC ElectionGraph Project - IDJC – Syracuse University
Research on misinformation origins in social media posts and advertising for the 2024 presidential election.
BELKA competition on Kaggle:
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Abstracting Information for Human Understanding
🗣 TALK ALERT for GraphGeeks ℹ Abstracting Information for Human Understanding 📅 May 30th 🕘 09:00 am PT | 18:00 CEST Registration 👉…
GitHub - VinciGit00/Scrapegraph-ai: Python scraper based on AI
Python scraper based on AI. Contribute to VinciGit00/Scrapegraph-ai development by creating an account on GitHub.
Algorithms on Trees and Graphs: With Python Code (Texts in Computer Science): 9783030818845: Valiente, Gabriel: Books
Decoding Kanji Relationships
What are the concepts that have the most influence in language? For anyone that missed this fun language model + network science community talk, here's the…
Scaling hierarchical agglomerative clustering to trillion-edge graphs
Gemini 1.5 is so powerful that it can read all the Harry Potter books at once and generate a graph of the characters with perfect accuracy
Gemini 1.5 is so powerful that it can read all the Harry Potter books at once and generate a graph of the characters with perfect accuracy. All the books have… | 146 comments on LinkedIn
Gemini 1.5 is so powerful that it can read all the Harry Potter books at once and generate a graph of the characters with perfect accuracy
yFiles Graphs for Jupyter - visualize graph networks with Python
Free diagram visualization extension for JupyterLab and Jupyter Notebook.
An integrative dynamical perspective for graph theory and the analysis of complex networks
Built upon the shoulders of graph theory, the field of complex networks has become a central tool for studying real systems across various fields of resear
Visualizing Automatically Generated AI Semantic Networks
🧠 Visualizing Automatically Generated AI Semantic Networks🧠 Yesterday I shared an #automation that leverages #Claude3 in an iterative process to create… | 17 comments on LinkedIn
Visualizing Automatically Generated AI Semantic Networks
Decoding Kanji Relationships
🗣 TALK ALERT for GraphGeeks 🈂 Decoding Kanji Relationships 📅 April 30th 🕘 09:00 am PT | 18:00 CEST Registration 👉 https://lnkd.in/gkwGCczF 👈 Join…
Decoding Kanji Relationships
The Rise of Graph Jobs, The Disappearance of Graph Technology?
The Rise of Graph Jobs, The Disappearance of Graph Technology? Join me for this fun presentation at KGC on May 8, 2024, in NYC, where I delve into a "State of…
Accelerating Graph Analytics and Graph Neural Networks | NVIDIA On-Demand
See how TigerGraph has integrated their massively parallel processing graph database and analytics platform with NVIDIA cuGraph to deliver 100x performance
Software Vulnerability Analysis using SBOMs, Amazon Neptune, and Nodestream
Are you tired of manually tracing package vulnerabilities across applications? The #AmazonNeptune team has a solution! As part of the newest release of the…
𝐔𝐧𝐥𝐞𝐚𝐬𝐡𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐆𝐫𝐚𝐩𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: 𝟐𝟓 𝐓𝐨𝐩 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬, 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬, 𝐓𝐲𝐩𝐞𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬
𝐔𝐧𝐥𝐞𝐚𝐬𝐡𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐆𝐫𝐚𝐩𝐡 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: 𝟐𝟓 𝐓𝐨𝐩 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬, 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬, 𝐓𝐲𝐩𝐞𝐬 𝐚𝐧𝐝… | 27 comments on LinkedIn