deep-finance VS GNNPapers

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

deep-finance

Datasets, papers and books on AI & Finance. (by sangyx)

GNNPapers

Must-read papers on graph neural networks (GNN) (by thunlp)
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deep-finance GNNPapers
1 1
1,135 15,568
- 0.7%
10.0 0.0
almost 2 years ago 5 months 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.

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.

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

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

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

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

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

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).