Graph_ml
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Transferlearning | 12,494 | 3 months ago | 14 | mit | Python | |||||
| Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习 | ||||||||||
| Awesome Multimodal Ml | 5,399 | a month ago | 8 | mit | ||||||
| Reading list for research topics in multimodal machine learning | ||||||||||
| Codesearchnet | 2,054 | 2 years ago | 7 | mit | Jupyter Notebook | |||||
| Datasets, tools, and benchmarks for representation learning of code. | ||||||||||
| Ampligraph | 1,963 | 10 months ago | 14 | July 12, 2023 | 31 | apache-2.0 | Python | |||
| Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org | ||||||||||
| Simclr | 1,745 | a year ago | 22 | mit | Jupyter Notebook | |||||
| PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations | ||||||||||
| Awesome Graph Self Supervised Learning | 1,194 | 4 months ago | 1 | |||||||
| Awesome Graph Self-Supervised Learning | ||||||||||
| Graphvite | 831 | 1 | 3 years ago | 1 | March 22, 2022 | 24 | apache-2.0 | C++ | ||
| GraphVite: A General and High-performance Graph Embedding System | ||||||||||
| Paddlehelix | 729 | 7 months ago | 35 | apache-2.0 | Python | |||||
| Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集 | ||||||||||
| Awesome Deep Graph Clustering | 626 | 3 months ago | 5 | September 21, 2022 | 6 | mit | Python | |||
| Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets). | ||||||||||
| Causal Ml | 376 | a year ago | ||||||||
| Must-read papers and resources related to causal inference and machine (deep) learning | ||||||||||
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