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	<title>Graph Networks &#8211; Noise</title>
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	<description>The collective thoughts of the interwebz</description>
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		<title>Graph modelling guidelines</title>
		<link>https://noise.getoto.net/2023/11/08/graph-modelling-guidelines/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Wed, 08 Nov 2023 00:00:10 +0000</pubDate>
				<category><![CDATA[data]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph technology]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Introduction

Graph modelling is a highly effective technique for representing and analysing complex and interconnected data across various domains. By deciphering relationships between entities, graph modelling can reveal insights that might be otherw...]]></description>
		
		
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		<title>Unsupervised graph anomaly detection &#8211; Catching new fraudulent behaviours</title>
		<link>https://noise.getoto.net/2023/08/02/unsupervised-graph-anomaly-detection-catching-new-fraudulent-behaviours/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Wed, 02 Aug 2023 01:23:05 +0000</pubDate>
				<category><![CDATA[Anomaly detection]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph visualisation]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Earlier in this series, we covered the importance of graph networks, graph concepts, graph visualisation, and graph-based fraud detection methods. In this article, we will discuss how to automatically detect new types of fraudulent behaviour and swiftl...]]></description>
		
		
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		<title>Graph service platform</title>
		<link>https://noise.getoto.net/2023/01/05/graph-service-platform/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 05 Jan 2023 01:18:05 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph visualisation]]></category>
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		<category><![CDATA[security]]></category>
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					<description><![CDATA[Introduction

In earlier articles of this series, we covered the importance of graph networks, graph concepts, how graph visualisation makes fraud investigations easier and more effective, and how graphs for fraud detection work. In this article, we el...]]></description>
		
		
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		<title>Graph for fraud detection</title>
		<link>https://noise.getoto.net/2022/11/24/graph-for-fraud-detection/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 24 Nov 2022 00:13:40 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Data Science]]></category>
		<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
		<category><![CDATA[Graph visualisation]]></category>
		<category><![CDATA[graphs]]></category>
		<category><![CDATA[security]]></category>
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					<description><![CDATA[Grab has grown rapidly in the past few years. It has expanded its business from ride hailing to food and grocery delivery, financial services, and more. Fraud detection is challenging in Grab, because new fraud patterns always arise whenever we introdu...]]></description>
		
		
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		<item>
		<title>Graph Networks &#8211; Striking fraud syndicates in the dark</title>
		<link>https://noise.getoto.net/2022/04/28/graph-networks-striking-fraud-syndicates-in-the-dark/</link>
		
		<dc:creator><![CDATA[Grab Tech]]></dc:creator>
		<pubDate>Thu, 28 Apr 2022 10:55:55 +0000</pubDate>
				<category><![CDATA[Engineering]]></category>
		<category><![CDATA[Fraud Detection]]></category>
		<category><![CDATA[Graph Networks]]></category>
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					<description><![CDATA[
  
  


As a leading superapp in Southeast Asia, Grab serves millions of consumers daily. This naturally makes us a target for fraudsters and to enhance our defences, the Integrity team at Grab has launched several hyper-scaled services, such as the G...]]></description>
		
		
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