Comments (1)
Hi @canqin001,
sorry for the late response. I tried different configs but I wouldn't be sure about best performance since I was restricted in time and therefore the learning time was not long enough to achieve a maximum performance for each config.
The most important points that I can mention: for my experiments on LINUX and AIDS datasets the Graph Isomorphism Operator gave better performance than the GCN, for IMDB GCN was better. However, the overfitting effect for GIN was also higher and on a longer learning period probably some play with dropout will be required. Also, usage of histogram (pairwise node comparison) caused a significant overfitting effect, so usually I turned it off.
Regarding other parameters I can't say much unfortunately.
from extended-simgnn.
Related Issues (10)
- A BUG HOT 1
- Asking for the best result of the code HOT 3
- About "Fully Connected Layers" Settings HOT 3
- Error downloading GEDDataset HOT 1
- The potential bug in the "calculate_prec_at_k" HOT 4
- About the performance reported in the original paper[SimGNN] HOT 4
- Dataset Issues HOT 1
- This should not use the updated "k" HOT 2
- About how to test a new dataset? 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 extended-simgnn.