ztx0728 / book-1Links
深度学习和机器学习相关书籍(仅供非商业用途或交流学习使用)
☆21Updated 6 years ago
Alternatives and similar repositories for book-1
Users that are interested in book-1 are comparing it to the libraries listed below
Sorting:
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 4 years ago
- 机器学习白板推导系列笔记总结☆31Updated 5 years ago
- ☆52Updated 2 years ago
- 记录学习凸优化的笔记☆26Updated 5 years ago
- 张志华机器学习导论 MOOC 讲义☆130Updated 3 years ago
- SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data☆13Updated last week
- 【机器学习&深度学习】学习资源整理☆16Updated 6 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…☆35Updated 3 years ago
- ☆98Updated last year
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆91Updated 2 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated 2 years ago
- A list of Graph Causal Learning materials.☆198Updated 7 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- ☆144Updated last week
- ☆19Updated last year
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆17Updated last year
- Over the years, I have written a lot of research and engineering prototype/products, scattered all over the Web. I organize them in this …☆24Updated last year
- A Note for Machine Learning Algorithms☆92Updated last month
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆35Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated last year
- Graph Transformers for Large Graphs☆22Updated last year
- ☆11Updated last year
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Updated 3 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆82Updated last year
- 图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book☆248Updated last year
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago