qitianwu / DIFFormer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Date Created 2023-03-01 (about a year ago)

Commits 14 (last one about a year ago)

Stargazers 292 (0 this week)

Watchers 11 (0 this week)

Forks 32

License unknown

Ranking

RepositoryStats indexes 565,600 repositories, of these qitianwu/DIFFormer is ranked #132,893 (77th percentile) for total stargazers, and #188,904 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #22,682/111,362.

qitianwu/DIFFormer is also tagged with popular topics, for these it's ranked: pytorch (#1,918/5824), transformer (#315/976), graph-neural-networks (#101/559), image-classification (#123/386), text-classification (#92/270)

All Topics

pytorch iclr2023 attention diffusion large-graph transformer graph-transformer pytorch-geometric diffusion-equation node-classification text-classification image-classification graph-neural-networks geometric-deep-learning pytorch-geometric-temporal spatial-temporal-forecasting

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Recent Commit History

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

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The primary language is Python but there's also others...

updated: 2024-09-18 @ 09:21pm, id: 608014608 / R_kgDOJD2REA