atomicarchitects/equiformer
[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
PythonMIT
Stargazers
- 2019mohamedProteinea
- acorrochanonBarcelona, Spain
- acse-sl420
- amoreheadUniversity of Missouri
- arneschneuingEPFL
- bcjanmayCanada
- chaitjoUniversity of Cambridge
- chx-huTsinghua University
- engelbergerDataRoot
- fly51flyPRIS
- FMCalistoInstitute for Systems and Robotics
- ftsong22Peking University
- GanjinZeroDAMO Academy
- ghutchisUniversity of Pittsburgh, Department of Chemistry
- HBioquantPeking University
- JackLangermanNew York
- jgravingMax Planck Institute of Animal Behavior
- jparkhillAustin, TX
- JunyoungparkKAIST IsysE
- lollcatUniversity of Cambridge
- lsj2408Peking University @microsoft
- luwei0917
- munozariasjm
- NatureGeorgePKU
- nikitavoloboevTbilisi
- puckvgEPFL
- rdangovsMassachusetts Institute of Technology, 6C-413
- rish-16@KrishnaswamyLab @Graph-and-Geometric-Learning
- SandalotsVolcanak
- sinAshish@sfu-mial @pfnet @fossasia @enactus-iitr
- thomasghoTokyo
- tribbloidacyclic.ai
- voidismCSAIL, MIT
- wangleiphyInstitute of Physics, CAS
- wwang2@generatebio
- ZurichoChinese University of Hong Kong