Tag feed

#gnn

17 posts0 followers

Explore Hashnode

Alternatives

Trending tags this week

FIfor IT theieee-projects.hashnode.devJun 2 · 39 min read

Graph Neural Networks for Final Year Students: 5 IEEE Papers You Should Read (2026–2027)

Introduction Graph Neural Networks (GNNs) have quietly become one of the most transformative forces in modern machine learning. From detecting financial fraud and inferring gene regulatory networks to

0

Vvarun_raoslipstream.hashnode.devMar 23 · 8 min read

What is Slipstream and Why I Built it

When you run a CFD parametric sweep, changing geometry, boundary conditions, or mesh density, you typically run 10, 50, maybe 100 cases. Each one starts from scratch or is seeded if the geometry varia

0

NJNaveen Jayarajnaveenjayaraj.hashnode.devOct 21, 2025 · 5 min read

Beyond Just Words: Scoring Essays with Graphs, RoBERTa, and a Touch of Chaos (Hello, MBO!)

Automated Essay Scoring (AES) is an intriguing natural language processing challenge — the attempt to score essays in a way that's fair, consistent, and effective. The issue is not trivial. Essays aren't just words; they contain argument, structure, ...

0

ASAmit Sidesai-blog.devMar 18, 2025 · 8 min read

Cyber Unicorns Reverse Engineered (CSPM & XDR): JSON, Cypher, Graphs, Embeddings, and Intruders

Tags: AI, Cyber, CSPM, XDR, GraphMap, GNN, Cypher, XGBoost, Python What’s the technology behind Cybersecurity Unicorns? What are the complexities of building AI First XDR/CSPM Products? Multiple Use Cases, Misconfigurations, Datatypes, and Cyber Ont...

0

GDGabi Dobocanblog.telepat.ioNov 17, 2024 · 3 min read

Understanding ScaleNet: A New Frontier in Graph Neural Networks

Arxiv: https://arxiv.org/abs/2411.08758v1 PDF: https://arxiv.org/pdf/2411.08758v1.pdf Authors: Wei Pang, Michael Lones, Chengjia Wang, Qin Jiang Published: 2024-11-13 Graph Neural Networks (GNNs) are a growing area of interest in machine learning, p...

0

AVAlexis VANNSONalexisvannson.hashnode.devSep 28, 2024 · 6 min read

Applying Graph Neural Networks for Better Image Classification

This article explains how to adapt Graph Neural Networks (GNNs) for image classification. It covers the process from converting images into graphs to updating the model’s parameters. I explore how message passing and global pooling can enhance spatia...

4

KHYW

PBPronod Bharatiyadata-intelligence.hashnode.devSep 14, 2024 · 10 min read

Graph Theory Algorithms and Neural Networks: An In-Depth Exploration

Graph theory and neural networks are two seemingly distinct fields in computer science and mathematics, but they have an intrinsic connection that has become increasingly significant as advancements in both areas have evolved. Graph theory, which dea...

0

AHAniket Hinganebytecodecorner.hashnode.devMar 31, 2024 · 2 min read

Trend Worth 📖: Why Graph Neural Networks Will Dominate in 2024 & Beyond

Full Article 🌐 What is this article about?This article explores the rising prominence of Graph Neural Networks (GNNs) and their potential to revolutionize how we tackle complex, real-world problems. It discusses the limitations of traditional deep l...

0

DPDarsh Pateldarsh-patel.hashnode.devMar 23, 2024 · 3 min read

Detecting Fake News using Graph Neural Networks and Evidence

In the digital age, the proliferation of fake news has become a pervasive issue, challenging the integrity of information dissemination. The quest for automated fake news detection has led researchers to explore various methodologies, with evidence-b...

0

KMKanishk Munotkanishkmunot.hashnode.devMar 9, 2024 · 3 min read

How Graph Neural Networks learn through message parsing

In part one of our blog series, we explored the world of graphs and graph neural networks (GNNs). We learned that GNNs are a powerful tool for machine learning tasks involving graphs, like social networks and molecule structures. But how exactly do G...

0

#gnn

Search Hashnode

#gnn

Explore Hashnode

Trending tags this week

Graph Neural Networks for Final Year Students: 5 IEEE Papers You Should Read (2026–2027)

What is Slipstream and Why I Built it

Beyond Just Words: Scoring Essays with Graphs, RoBERTa, and a Touch of Chaos (Hello, MBO!)

Cyber Unicorns Reverse Engineered (CSPM & XDR): JSON, Cypher, Graphs, Embeddings, and Intruders

Understanding ScaleNet: A New Frontier in Graph Neural Networks

Applying Graph Neural Networks for Better Image Classification

Graph Theory Algorithms and Neural Networks: An In-Depth Exploration

Trend Worth 📖: Why Graph Neural Networks Will Dominate in 2024 & Beyond

Detecting Fake News using Graph Neural Networks and Evidence

How Graph Neural Networks learn through message parsing