Life & fun · November 22, 2017
Tensorflow Implementation of Graph Convolutional Network
Tensorflow implementation of Graph Convolutional Network - shagunsodhani/pregel
Tensorflow Implementation of Graph Convolutional Network launched on November 22, 2017 with 5 votes and more than 50% of that year's launches. The site was still online in September 2026, 8 years on.
Does a similar job
all alternatives →- GCGraph Convolutional Networks – Intro to neural networks on graphs2016 · tkipf.github.io · ▲106
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
Comprehensive Tutorials in Deep Learning Using TensorFlow2018 · github.com · ▲327:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
Fast Style Transfer in TensorFlow2016 · github.com · ▲184TensorFlow CNN for fast style transfer ⚡🖥🎨🖼. Contribute to lengstrom/fast-style-transfer development by creating an account on GitHub.
- ALA library to build graph neural networks in Keras2019 · danielegrattarola.github.io · ▲8
Spektral: Graph Neural Networks in TensorFlow 2 and Keras
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