twelfth-star / CS224W-Winter2023Links
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)
☆47Updated 2 years ago
Alternatives and similar repositories for CS224W-Winter2023
Users that are interested in CS224W-Winter2023 are comparing it to the libraries listed below
Sorting:
- cs224w(图机器学习)2021冬季课程的colab☆248Updated 4 years ago
- Must-read papers on graph foundation models (GFMs)☆359Updated 5 months ago
- A multi-backend graph learning library.☆243Updated 6 months ago
- ☆11Updated 10 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆241Updated last year
- ☆183Updated last year
- ☆186Updated last year
- 🌟🌟CS224W Fall 2021 | Stanford 的个人学习路线🌟🌟☆30Updated 3 years ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆72Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆39Updated 8 months ago
- Papers about large graph models.☆287Updated last year
- Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.☆50Updated 7 months ago
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- ☆74Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆158Updated 6 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆258Updated 9 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆232Updated 2 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- ☆14Updated last year
- ☆14Updated last year
- [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"☆365Updated 10 months ago
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- Solutions for CS224W Winter 2021 Colab☆171Updated last year
- ☆24Updated last year
- Diffusion-based Negative Sampling on Graphs for Link Prediction☆12Updated last year
- A list of recent papers about Link Prediction.☆122Updated last week
- Benchmark☆113Updated last year
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆17Updated 7 months ago