Published June 22, 2022
| Version 1.0.0
Software
Open
Edge-Augmented Graph Transformers (EGT) - PCQM4Mv2-LSC
Description
Checkpoints for Edge-Augmented Transformers (EGT) as described in the paper "Global Self-Attention as a Replacement for Graph Convolution" (KDD '22) [https://arxiv.org/abs/2108.03348] on the PCQM4Mv2-LSC dataset. The codes for the project are available at: https://github.com/shamim-hussain/egt_pytorch
Files
egt_110m.zip
Files
(1.8 GB)
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md5:bf687edcf414acd5e9e5de60439d3f7d
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md5:0bf1944da7b9bfab490e674dbe89df0c
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md5:a328c59064585d6a3969feb8c738fc8b
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md5:2fd737d24b2250610d42d23de0c0e2b7
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md5:f46fc694ff82a839fd01e457710db597
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