awesome-drug-pair-scoring VS GNNPapers

Compare awesome-drug-pair-scoring vs GNNPapers and see what are their differences.

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awesome-drug-pair-scoring GNNPapers
4 1
85 15,531
- 0.5%
0.0 0.0
over 1 year ago 4 months ago
Apache License 2.0 -
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.

awesome-drug-pair-scoring

Posts with mentions or reviews of awesome-drug-pair-scoring. We have used some of these posts to build our list of alternatives and similar projects.

GNNPapers

Posts with mentions or reviews of GNNPapers. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-drug-pair-scoring and GNNPapers you can also consider the following projects:

efficient-gnns - Code and resources on scalable and efficient Graph Neural Networks

awesome-ml4co - Awesome machine learning for combinatorial optimization papers.

diffnet - Graph Neural Network based Social Recommendation Model. SIGIR2019.

gnn - TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

PDN - The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

Awesome-Image-Inpainting - A curated list of image inpainting and video inpainting papers and resources

pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

ABigSurvey - A collection of 1000+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML).

radium-formula-parser

deep-finance - Datasets, papers and books on AI & Finance.