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K3-Node is claimed to have 100% public API parity with PyG

A post describes K3-Node as a Keras 3-native graph neural network library whose models run on JAX, PyTorch and TensorFlow, with full hardware acceleration on Apple Silicon and TPUs.

François CholletFC
1 Source, 11d ago, first seen 11d ago

TLDR

A post shares K3-Node, a graph neural network library built on Keras 3. It says the library's models run on JAX, PyTorch and TensorFlow with full hardware acceleration, and quotes a claim that K3-Node has “100% public API parity with PyG” and incorporates foundation models and architectures from Spektral and StellarGraph.

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22.8K

1 Source, first seen 11d ago

101 likes26 comments39 saves10 reposts

Combined views

22.8K

1 Source, first seen 11d ago

101 likes26 comments39 saves10 reposts

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1 Source

François Chollet@fcholletA GNN library built natively on Keras 3 -- with models running on JAX, torch, TF with full hardware acceleration (Apple Silicon, TPU, etc.). "K3-Node achieves 100% public API parity with PyG and incorporates state-of-the-art foundation models and architectures from Spektral and StellarGraph" https://github.com/anas-rz/k3-node11d
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    François Chollet

    1 Source

    François Chollet@fcholletA GNN library built natively on Keras 3 -- with models running on JAX, torch, TF with full hardware acceleration (Apple Silicon, TPU, etc.). "K3-Node achieves 100% public API parity with PyG and incorporates state-of-the-art foundation models and architectures from Spektral and StellarGraph" https://github.com/anas-rz/k3-node11d
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