Comments (6)
Thank you for your leaderboard submission. Please provide the exact command to reproduce your leaderboard results.
Hi Weihua, thanks for organizing the amazing event! Here is the exact command which can reproduce our result:
https://github.com/microsoft/Graphormer/tree/ogb-lsc/OGB-LSC
Please kindly let us know if you have problem on reproduction.
from graphormer.
I see. I actually meant the code for reproducing ogbg-molhiv and ogbg-molpcba (the original OGB, not OGB-LSC). We can update the leaderboard once we confirm that you provide the sufficient instruction to reproduce your results.
from graphormer.
I see. I actually meant the code for reproducing ogbg-molhiv and ogbg-molpcba. We can update the leaderboard once we confirm that you provide the sufficient instruction to reproduce your results.
Oh, sure. The final code will be released in about couple of weeks. Still need to do some paper works for the release process. Will let you know immediately.
from graphormer.
Hi authors, thanks for sharing this. I'm also wondering when the code for OGB-LSC
will be released.
from graphormer.
I see. I actually meant the code for reproducing ogbg-molhiv and ogbg-molpcba (the original OGB, not OGB-LSC). We can update the leaderboard once we confirm that you provide the sufficient instruction to reproduce your results.
Hi Weihua, we just released the first version of our code, which provides full descriptions and scripts to reproduce all of our experiments.
from graphormer.
Thank you! Updated the leaderboard!
from graphormer.
Related Issues (20)
- graphormer v1.0在pcqm4m v1上的训练权重
- Very slow training
- DIsable to predict properties by fairseq-generate
- Issue dict->Dict typing
- No module named 'customized_dataset' while settiing up your own dataset
- How can I save outputs for my Graphormer model
- git clone --recursive problem HOT 1
- Command-line Tools Dataset Documentation HOT 1
- How to train graphormer for graph classification and graph similarity learning tasks with out using fairseq?
- Evaluation gets nan mae
- Implementation of Graphormer based on pytorch geometric HOT 5
- Pretrained OCP20 Graphormer3D model HOT 1
- Feature Request: New Model
- python setup.py build_ext --inplace bug
- install.sh Issue, no access to sudo, using pip21.1 HOT 1
- OC20 checkpoint
- Own dataset problem while dataset.map()
- Unable to download pretrain model.HTTP error 409 HOT 2
- No support for custom datasets in ogb format? HOT 1
- Binary pretrained model can't train a multi-class classifier?
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from graphormer.