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A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.
A pytorch adversarial library for attack and defense methods on images and graphs
Lightning template for easy prototyping⚡️
Flexible and scalable template based on PyTorch Lightning + Hydra. Efficient workflow and reproducibility for rapid ML experiments.
Benchmarking GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels
A modular graph-based Retrieval-Augmented Generation (RAG) system
List of papers on ICLR 2024
Methods and Implements of Deep Clustering
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)
A collection of AWESOME things about Graph-Related LLMs.
PyGCL: A PyTorch Library for Graph Contrastive Learning
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Code examples in pyTorch and Tensorflow for CS230
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
🎨 A curated list of delightful VS Code packages and resources.
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.
📚 List of awesome university courses for learning Computer Science!
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
