https://github.com/snap-research/mlpinit-for-gnns

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
https://github.com/snap-research/mlpinit-for-gnns

deep-learning efficient-training feedforward-neural-network gnn graph-algorithm graph-neural-networks multi-layer-perceptron pytorch scalability

Last synced: about 2 months ago
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[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

• Host: GitHub
• URL: https://github.com/snap-research/mlpinit-for-gnns
• Owner: snap-research
• License: mit
• Created: 2022-08-12T21:34:50.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-05T02:15:42.000Z (over 1 year ago)
• Last Synced: 2023-05-21T06:15:22.902Z (over 1 year ago)
• Topics: deep-learning, efficient-training, feedforward-neural-network, gnn, graph-algorithm, graph-neural-networks, multi-layer-perceptron, pytorch, scalability
• Language: Jupyter Notebook
• Homepage: https://arxiv.org/abs/2210.00102
• Size: 738 KB
• Stars: 51
• Watchers: 6
• Forks: 3
• Open Issues: 0

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