Repository: https://github.com/snap-stanford/cs224w-notes Stars: 323 | Forks: 75 | 主要語言: CSS（Jekyll 靜態網站；核心內容為 Markdown 講義） 授權: MIT License Homepage: https://snap-stanford.github.io/cs224w-notes/ 最後更新: 2026-07-02 1. 專案概覽 (Project Overview) 1.1 這是什麼 cs224w-notes 是史丹佛大學 CS224W: Machine Learning with Graphs（圖機器學習） 課程的官方講...

Repository: https://github.com/snap-stanford/GEARS Stars: 381 | Forks: 85 | Language: Python | License: MIT 論文: Roohani, Huang, Leskovec. Predicting transcriptional outcomes of novel multigene perturbations with GEARS. Nature Biotechnology, 2023. 1. 專案概覽 (Project Overview) 1.1 專案背景、研究團隊與動機 GEARS（Genetic Effects...

Repository: https://github.com/snap-stanford/GraphRNN Stars: 430 | Language: Python | License: MIT 論文: GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model（ICML 2018） 作者: Jiaxuan You*, Rex Ying*, Xiang Ren, William L. Hamilton, Jure Leskovec（Stanford SNAP Group） 1. 專案概覽 (Project Overview) 1.1...

Repository: https://github.com/snap-stanford/KGReasoning Stars: 312 | Forks: 63 | Language: Python | License: MIT Topics: knowledge-graph, knowledge-base, embedding, reasoning 1. 專案概覽 (Project Overview) 1.1 專案背景與研究團隊 KGReasoning 是史丹佛大學 SNAP (Stanford Network Analysis Platform; 史丹佛網路分析平台) 實驗室釋出的官方程式碼庫，核心作者為 Hongyu Ren ...

Repository: https://github.com/snap-stanford/med-flamingo Stars: 451 | Forks: 39 | Language: Python | License: 未標示（repo 未附 LICENSE 檔） 論文: Med-Flamingo: A Multimodal Medical Few-shot Learner (Moor et al., 2023) 1. 專案概覽 (Project Overview) 1.1 專案背景與研究團隊 med-flamingo 是史丹佛大學 SNAP（Stanford Network Analysis Platform，社群網路分析平...

Repository: https://github.com/snap-stanford/ogb Stars: 2090 | Forks: 409 | Language: Python | License: MIT Homepage: https://ogb.stanford.edu Topics: graph-machine-learning, graph-neural-networks, deep-learning, datasets 1. 專案概覽 (Project Overview) 1.1 專案背景與研究團隊 OGB（Open Graph Benchmark; 開放圖形基準)是由 Stanford SNAP...

Repository: https://github.com/snap-stanford/pretrain-gnns Stars: 1067 | Forks: 174 | Language: Python | License: MIT 論文: Hu, Liu, Gomes, Zitnik, Liang, Pande, Leskovec. Strategies for Pre-training Graph Neural Networks. ICLR 2020. arXiv:1905.12265 | OpenReview 1. 專案概覽 (Project Overview) 1.1 背景與團隊 pretrain-gnns...

Repository: https://github.com/snap-stanford/stark Stars: 334 | Language: Python | License: MIT 論文: STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases（NeurIPS 2024 Datasets & Benchmarks Track） 官網: https://stark.stanford.edu/ ｜ PyPI: stark-qa ｜ Leaderboard: HuggingFace Space 1. 專案概覽 (Project...

Repository: mims-harvard/AutoScientists Stars: 688 · Forks: 111 · 語言: Python 一句話簡介：Self-Organizing Agent Teams for Long-Running Scientific Experimentation（自組織 agent (代理人) 團隊，用於長時間執行的科學實驗） 論文：Gao, Fang, Zitnik. AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation. arXiv:2605.28655 出...

Decagon 教學：多關係圖卷積網路的藥物交互作用預測 Repository: mims-harvard/decagon · ⭐ 472 · MIT License 論文：Zitnik M, Agrawal M, Leskovec J. Modeling polypharmacy side effects with graph convolutional networks. Bioinformatics. 2018;34(13):i457–i466. DOI: 10.1093/bioinformatics/bty294 目錄 專案概述 (Project Overview) 核心架構 (Core Architecture) 安裝與...