Sealbook / Open source / Machine learning & data science

LirongWu/awesome-graph-self-supervised-learning

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

data-augmentationdeep-learninggraph-neural-networksmachine-learningpre-trainingpretext-taskrepresentation-learningself-supervised-learningtransfer-learningunsupervised-learning

GitHub ↗

License & maintenance

No license stated: by default nobody may reuse the code. Ask the authors before using it in a product.

Last code push 2 years ago.

Similar projects

	Repository	Stars	Language	License	Activity
1	tensorflow/tensorflowAn Open Source Machine Learning Framework for Everyone	★ 201.1k	C++	Apache-2.0	Active
2	pytorch/pytorchTensors and Dynamic neural networks in Python with strong GPU acceleration	★ 104.8k	Python	Other	Active
3	d2l-ai/d2l-zh《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。	★ 81.9k	Python	Apache-2.0	Stale
4	microsoft/AI-For-Beginners12 Weeks, 24 Lessons, AI for All!	★ 69.9k	Jupyter Notebook	MIT	Active
5	labmlai/annotated_deep_learning_paper_implementations🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback,	★ 67.6k	Python	MIT	Slowing
6	keras-team/kerasDeep Learning for humans	★ 64.4k	Python	Apache-2.0	Active
7	ultralytics/ultralyticsUltralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose esti	★ 62.6k	Python	AGPL-3.0	Active
8	deepfakes/faceswapDeepfakes Software For All	★ 57.6k	Python	GPL-3.0	Active