Oct 21, 2025 · 5 min read · 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, ...
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Mar 18, 2025 · 8 min read · 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...
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Nov 17, 2024 · 3 min read · 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...
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Sep 28, 2024 · 6 min read · 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...
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Sep 14, 2024 · 10 min read · 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...
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Mar 31, 2024 · 2 min read · 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...
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Mar 23, 2024 · 3 min read · 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...
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Mar 9, 2024 · 3 min read · 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...
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Mar 9, 2024 · 3 min read · Have you ever stopped to think about how social media platforms like Facebook or Twitter recommend friends or posts to you? Or perhaps you’ve wondered how self-driving cars navigate through traffic? These are just a few examples of how GNNs are being...
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