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by sandeepeecs
1961 days ago
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When you are dealing with payments data x paying to y and txn volumes of few months then they are very large graphs, companies such as npci or alipay deals with these kinds of data. Some of the usecase to build such graph is to get node embeddeding for fraud prevention or link prediction etc. |
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Transaction graphs can be huge. Web graphs are huge. Also there are also many other huge graphs and use cases, like spot irregularities / intrusions from network traffic graphs in Alibaba Cloud. Some bioinformation algorithms also requires the ability to process big graphs.