Comments (4)
Hi Diego,
Thank you for your interest in GAT! Especially for putting in the effort to reproduce our result in PyTorch. This should be very helpful indeed.
Would you mind adding the citation reference to your README? I'll then gladly link to your repository from ours.
Thanks,
Petar
from gat.
Hi Petar,
Yes definitely ! It's done.
Best,
from gat.
Hi,
I was really interested to use your model but unfortunately it is in Tensorflow (or Keras for the unofficial implementation). I propose here the Pytorch version (https://github.com/Diego999/pyGAT) where I obtained between 83.6-84.6 for the accuracy on the transductive learning in the cora task. If you would like to add it in your readme (didn't want to do a pull request for this).
Best,
hi, the training/testing split in your Pytorch implementation is different from that in the paper(GCNs, GAT). When I change your utils to follow the original split and change the random seed 10 times, the average accuracy falls to about 82.6%
from gat.
Hi,
I was really interested to use your model but unfortunately it is in Tensorflow (or Keras for the unofficial implementation). I propose here the Pytorch version (https://github.com/Diego999/pyGAT) where I obtained between 83.6-84.6 for the accuracy on the transductive learning in the cora task. If you would like to add it in your readme (didn't want to do a pull request for this).
Best,hi, the training/testing split in your Pytorch implementation is different from that in the paper(GCNs, GAT). When I change your utils to follow the original split and change the random seed 10 times, the average accuracy falls to about 82.6%
Hello,
I have encountered the same problem as you. Have you solved the problem that the random seed has a big influence on the code of the pytorch version?
Thanks,
Ice.
from gat.
Related Issues (20)
- How to output labels updated after this algorithm?
- output the uodated label
- ValueError: Dimensions must be equal, but are 122904 and 12 for 'mul' (op: 'Mul') with input shapes: [122904], [12].
- multi-graph node classsification HOT 3
- adj_to_bias "return -1e9 * (1.0 - mt)" term
- Weighted adjacency graphs HOT 2
- The attention value of all edges of a node is almost equal HOT 2
- t-SNE HOT 2
- Unseen node embedding
- Usage with image data HOT 2
- how to sample neighbours(nodes)?
- issue in Generating test.index file HOT 3
- Please follow this to get the "Solution to creating the files under the data folder"
- Need help in creating evaulation metrics
- How to batch large datasets to apply GAT?
- transform to other scope dataset
- Why using undirected graph for transductive learning?
- Why using undirected graph for transductive learning?
- How to get node embeddings? HOT 1
- Code fails with tensorflow-2.9.1: module 'tensorflow' has no attribute 'layers' HOT 1
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 gat.