shenhao-stu / CS224W-Fall2021
🌟🌟CS224W Fall 2021 | Stanford 的个人学习路线🌟🌟
☆30Updated 2 years ago
Alternatives and similar repositories for CS224W-Fall2021:
Users that are interested in CS224W-Fall2021 are comparing it to the libraries listed below
- cs224w（图机器学习）2021冬季课程的colab☆237Updated 3 years ago
- CS224W-Chinese-Notes CS224W中文笔记☆61Updated 2 years ago
- 《图神经网络：基础与前沿》相关资料☆46Updated 3 years ago
- Schedule for learning on graphs seminar☆109Updated last year
- 图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book☆228Updated last year
- Papers about large graph models.☆278Updated last year
- 斯坦福 CS224W（2023 Winter）的中文笔记、作业与Colab | Chinese notes, homwork and colabs of Stanford CS224W (2023 Winter)☆39Updated 2 years ago
- 2021MXAP-DGL rank2☆35Updated 3 years ago
- Bag of Tricks for Graph Neural Networks.☆293Updated 9 months ago
- 图神经网络(GNN)学习笔记☆70Updated 3 years ago
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆64Updated last year
- USTC 2021春季学期 深度学习导论实验：FNN，CNN，RNN，LSTM，BERT，GCN☆28Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆167Updated last year
- This is a repository contaning baseline code for DGraphFin Dataset☆120Updated last year
- PyTorch示例代码；复现GNN模型☆125Updated 3 years ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆56Updated last year
- A list of Graph Causal Learning materials.☆195Updated 3 months ago
- We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)☆83Updated 2 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Updated 3 years ago
- Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github …☆55Updated 7 months ago
- Graph model implementation☆141Updated 2 years ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year
- 图神经网络(图卷积网络) 个人学习总结☆115Updated 2 years ago
- A paper collection about automated graph learning☆96Updated 11 months ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 2 years ago
- 发布研究论文代码的小技巧☆82Updated 4 years ago
- 图神经网络整理☆571Updated 3 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆95Updated last year
- Implementation codes for KDD24 paper "LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?"☆20Updated 8 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆211Updated 11 months ago