Data Structures

Practical Guide to Graph Neural Networks in TensorFlow

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Practical Guide to Graph Neural Networks in TensorFlow

Source: ZHUAN ZHI This article serves as a tutorial and is recommended for a 5-minute read. This tutorial's practical section will be based on TF-GNN, a library for handling graph-structured data in TensorFlow. Graphs are universal data structures that can represent information from various domains (social, biomedical, online transactions, etc.). Graph Neural Networks (GNNs) are … Read more

Optimize Data Structures for Performance Improvement

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Optimize Data Structures for Performance Improvement

Slow code execution is often due to poor data structure choices. A few days ago, I wrote a feature to handle user relationships, and it became painfully slow with large data volumes. While I was struggling with it, I tried the Cursor code analysis feature, and unexpectedly, it quickly identified the problem and taught me … Read more