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Local models support for Microsoft's graphrag using ollama (llama3, mistral, gemma2 phi3)- LLM & Embedding extraction
GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
Awesome Papers About Performing Prompting On Graphs
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.
PyGCL: A PyTorch Library for Graph Contrastive Learning
Collection of resources related with Graph Contrastive Learning.
Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
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)
绝区零 | ZenlessZoneZero | 零号空洞 | 自动战斗 | 自动化 | 图片分类 | OCR识别
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
daboltz / self-llm-core
Forked from hikonga/self-llm-core《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
[ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
在没有sudo权限的情况下，在linux上使用clash