snap-research / MLPInit-for-GNNs

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

Date Created 2022-08-12 (2 years ago)

Commits 13 (last one about a year ago)

Stargazers 77 (0 this week)

Watchers 7 (0 this week)

Forks 4

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RepositoryStats indexes 630,031 repositories, of these snap-research/MLPInit-for-GNNs is ranked #365,494 (42nd percentile) for total stargazers, and #260,925 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,311/18,981.

snap-research/MLPInit-for-GNNs is also tagged with popular topics, for these it's ranked: deep-learning (#5,917/8797), pytorch (#4,143/6207), graph-neural-networks (#341/611)

Other Information

Homepage URL: https://arxiv.org/abs/2210.00102

All Topics

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

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13 commits on the default branch (main) since jan '22

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updated: 2024-12-11 @ 04:44pm, id: 524230027 / R_kgDOHz8diw