CS224W Course Notes
☆324Feb 22, 2021Updated 5 years ago
Alternatives and similar repositories for cs224w-notes
Users that are interested in cs224w-notes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- My approach to CS224w [AT] Stanford 2019 : )☆122Dec 29, 2020Updated 5 years ago
- CS224W Stanford Winter 2021 Homework solutions☆197Mar 27, 2022Updated 4 years ago
- Platform for designing and evaluating Graph Neural Networks (GNN)☆1,903Nov 10, 2023Updated 2 years ago
- A group to learn the course of CS224W☆17Oct 10, 2020Updated 5 years ago
- Solutions for CS224W Winter 2021 Colab☆172Jul 11, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,095May 6, 2025Updated last year
- links to conference publications in graph-based deep learning☆5,097Jun 7, 2026Updated 3 months ago
- Must-read papers on graph neural networks (GNN)☆16,839Dec 20, 2023Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,070Jul 29, 2023Updated 3 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,670Jun 22, 2023Updated 3 years ago
- Graph Neural Network Library for PyTorch☆24,068Updated this week
- ☆19May 21, 2025Updated last year
- 图机器学习(斯坦福课程cs224w)学习笔记☆27Oct 31, 2021Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,237Mar 28, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆99Jul 5, 2024Updated 2 years ago
- Python library assists deep learning on graphs☆574Nov 24, 2025Updated 9 months ago
- Extending the Neural Graph Algorithm Executor☆13Dec 8, 2022Updated 3 years ago
- ☆367Jun 25, 2024Updated 2 years ago
- Quantum ground states from Reinforcement Learning☆18Jun 15, 2020Updated 6 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 5 years ago
- Distance Encoding for GNN Design☆187Mar 20, 2021Updated 5 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,281Jul 31, 2025Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆501Jun 21, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Matrix Product States on NISQ quantum computers☆30Jan 13, 2021Updated 5 years ago
- ☆32Oct 13, 2021Updated 4 years ago
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆12Sep 24, 2021Updated 4 years ago
- ☆311Jul 17, 2022Updated 4 years ago
- How Powerful are Graph Neural Networks?☆1,285Jul 1, 2021Updated 5 years ago
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆295Apr 21, 2021Updated 5 years ago
- Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.☆2,290Dec 10, 2023Updated 2 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 5 years ago
- ☆11Feb 13, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆18Jan 3, 2022Updated 4 years ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆160Apr 7, 2023Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆3,723Aug 4, 2024Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆509Aug 12, 2022Updated 4 years ago
- ☆11Jun 21, 2022Updated 4 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 5 years ago