qitianwu / DIFFormer

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

Date Created 2023-03-01 (2 years ago)

Commits 14 (last one about a year ago)

Stargazers 295 (0 this week)

Watchers 7 (0 this week)

Forks 32

License unknown

Ranking

RepositoryStats indexes 632,894 repositories, of these qitianwu/DIFFormer is ranked #141,552 (78th percentile) for total stargazers, and #261,307 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #24,966/129,085.

qitianwu/DIFFormer is also tagged with popular topics, for these it's ranked: pytorch (#2,012/6217), transformer (#343/1074), graph-neural-networks (#114/613), image-classification (#130/420), text-classification (#94/287)

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: 2025-03-11 @ 06:59am, id: 608014608 / R_kgDOJD2REA