GNNPapers VS deep-finance

Compare GNNPapers vs deep-finance and see what are their differences.

GNNPapers

Must-read papers on graph neural networks (GNN) (by thunlp)

deep-finance

Datasets, papers and books on AI & Finance. (by sangyx)
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GNNPapers deep-finance
1 1
15,548 1,135
0.6% -
0.0 10.0
5 months ago almost 2 years ago
- 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.

GNNPapers

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

deep-finance

Posts with mentions or reviews of deep-finance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-19.

What are some alternatives?

When comparing GNNPapers and deep-finance you can also consider the following projects:

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

financial-machine-learning - A curated list of practical financial machine learning tools and applications.

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

awesome-stellar - 👨‍🚀 A curated list of Stellar applications, blog posts, educational resources, tools, and more.

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)

awesome-drug-pair-scoring - Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

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