LinkDist
Distillation Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages. (by cf020031308)
efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (by chaitjo)
LinkDist | efficient-gnns | |
---|---|---|
1 | 2 | |
14 | 525 | |
- | - | |
3.2 | 0.0 | |
almost 3 years ago | about 1 year ago | |
Python | Python | |
- | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
LinkDist
Posts with mentions or reviews of LinkDist.
We have used some of these posts to build our list of alternatives
and similar projects.
efficient-gnns
Posts with mentions or reviews of efficient-gnns.
We have used some of these posts to build our list of alternatives
and similar projects.
- [R] Recent Advances in Efficient and Scalable Graph Neural Networks
-
[Project] Efficient and scalable Graph Neural Networks papers
Please help me improve it: https://github.com/chaitjo/awesome-efficient-gnn
What are some alternatives?
When comparing LinkDist and efficient-gnns you can also consider the following projects:
ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
euler - A distributed graph deep learning framework.
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
GraphGPS - Recipe for a General, Powerful, Scalable Graph Transformer