Graph Algorithm Insights
Abhishek discusses the superior performance of topology-aware graph convolution networks, emphasizing their ability to capture distant neighbor information. He acknowledges the potential for improvement, noting that recent research has built upon their work and achieved better results. The conversation also touches on the importance of feature engineering, suggesting that incorporating more complex features could enhance outcomes further.In this clip
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