Collecting papers about Self-Supervised Learning, Representation Learning. 子主题 [List] Awesome Graph Self-Supervised Learning A curated list for awesome self-supervised graph representation learning resources. [List] Awesome Self-supervised GNN Papers about self-supervised learning on Graph Neural Networks...
Graph Self-supervised Learning [arXiv 2022] GraphTTA: Test Time Adaptation on Graph Neural Networks [paper] [WWW 2022] Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift [paper] [arXiv 2021] Graph Self-Supervised Learning: A Survey [paper] [ICML 2021] From...
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization.[pdf][code] Ozsel Kilinc and Ismail Uysal.ICLR 2018 Improvements to context based self-supervised learning.[pdf]
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN). - ha-lins/awesome-self-supervised-gnn
- PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map. [arXiv][Code] Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction. [arXiv][Code] Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimatio. ...
ChemicalX A PyTorch based deep learning library for drug pair scoring. PyTorch Geometric Temporal Representation learning on dynamic graphs. Little Ball of Fur A graph sampling library for NetworkX with a Scikit-Learn like API. Karate Club An unsupervised machine learning extension library for NetworkX...
Data Distillation: Towards Omni-Supervised Learning, Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, Kaiming He, 2017 Learning from Noisy Labels with Distillation, Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jiebo Luo, Li-Jia Li, 2017 ...
Iasonas Kokkinos, "Pusing the Boundaries of Boundary Detection Using deep Learning", ICLR 2016, [Paper] UCSB Niloufar Pourian, S. Karthikeyan, and B.S. Manjunath, "Weakly supervised graph based semantic segmentation by learning communities of image-parts", ICCV, 2015, [Paper]Visual...
Awesome Courses Introduction There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an
OSGraph:https://github.com/TuGraph-family/OSGraph 提前感谢给项目点Star的小伙伴,接下来我们直接进入正文! 摘要 X-Stream是一个单机共享内存的既可以处理内存图也可以处理外存图的图处理系统。 特点: 以边为中心的计算模型。 流式访问无序边,而不是随机访问。