tengxiao1 / graphacl Goto Github PK
View Code? Open in Web Editor NEWGraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
Hello,
Thank you for your insightful work and for sharing the code.
While reproducing your code with dataset crocodile, I observed that the backpropagation is exceptionally long, resulting in unacceptably slow training. This is also true in the case of datasets for other heterophilic graphs.
I believe the method itself is not an issue. However, I'm having trouble training it.
Could you provide any suggestions that might help resolve this problem?
Looking forward to your reply :)
Thanks for sharing the code!
While attempting to reproduce the node clustering results from the appendix, I utilized the node_embeddings
generated by the train
function in main.py
and conducted kmeans on it. However, I'm facing an issue where the NMI results don't match the reported results.
Could you provide details on any specific settings you applied when evaluating node clustering?
Thanks a lot.
方便起见,我还是用中文吧。
您的工作简洁高效,符合直觉,先👍一个。
论文6.2中有这样的一句:“we attribute our significant improvement to modeling the one-hop neighborhood context and two-hop monophily.” 有一个疑问是这样的:
"two-hop monophily"应该是"one-hop neighborhood context"的补充吧?大多数情况下"two-hop monophily"都会属于"one-hop neighborhood context"的,除了一些例外(比如一个结点只有一个邻居,就没有这种"one-hop neighborhood context"可言)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.