The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
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Updated
Mar 25, 2021 - Python
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The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""
Tensorflow implement for ICLR2018 paper: "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling"
This project focuses on implementing FastGCN, a scalable alternative to traditional GCNs that leverages importance sampling to improve efficiency. Additionally, we explore adaptive sampling techniques to further enhance accuracy and computational performance.
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