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3 search results found

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Gcnn_keras ⭐ 94

Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

Graph Network Explainability ⭐ 51

Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" (ICML19)

Name Disambiguation ⭐ 14

同名论文消歧的工程化方案（参考2019智源-aminer人名消歧竞赛第一名方案）

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