pna
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric (by lukecavabarrett)
ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning (by snap-stanford)
| pna | ogb | |
|---|---|---|
| 5 | 1 | |
| 329 | 1,876 | |
| - | 1.0% | |
| 1.8 | 6.1 | |
| almost 2 years ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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.
pna
Posts with mentions or reviews of pna.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-16.
-
[D] Machine Learning - WAYR (What Are You Reading) - Week 130
/u/CatalyzeX_code_bot: Paper link
-
[D] Machine Learning - WAYR (What Are You Reading) - Week 129
Code for https://arxiv.org/abs/2004.05718 found: https://github.com/lukecavabarrett/pna
-
[D] Machine Learning - WAYR (What Are You Reading) - Week 128
In this regard, I came across the Principal Neighborhood Aggregation paper which aggregates information from neighbors based on different aggregators (1st, 2nd, and higher-order moments like mean, std, kurtosis, etc.). Additionally, the authors also introduce a scaler based on the degree of the node. It basically amplifies or attenuates the incoming information from the neighboring nodes. The code implementation is available here. Reach out to me if you want to discuss more!
ogb
Posts with mentions or reviews of ogb.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[D] Best way to handle encoding disconnected graphs at the graph level.
Example code: https://github.com/snap-stanford/ogb/tree/master/examples/graphproppred/mol
What are some alternatives?
When comparing pna and ogb you can also consider the following projects:
gnn-lspe - Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
pytorch_geometric - Graph Neural Network Library for PyTorch [Moved to: https://github.com/pyg-team/pytorch_geometric]
torchdrug - A powerful and flexible machine learning platform for drug discovery