This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

the official code for "ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases"

https://tuixue.online/visa/ A Real-time Display of U.S. Visa Appointment Status Website 预约美帝签证各个签证处最早时间的爬虫

MiroMind Research Agent: Fully Open-Source Deep Research Agent with Reproducible State-of-the-Art Performance on FutureX, GAIA, HLE, BrowserComp and xBench.

A pytorch library for graph and hypergraph computation.

A MemAgent framework that can be extrapolated to 3.5M, along with a training framework for RL training of any agent workflow.

The official code of ARPO & AEPO

Lightweight version of MAPPO to help you quickly migrate to your local environment.

A Deep Graph-based Toolbox for Fraud Detection

An open-source framework for self-supervised recommender systems.

A foundation model for knowledge graph reasoning

A Unified Python Library for Graph Prompting

GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22

Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering""

An Open-Source Large-Scale Reinforcement Learning Project for Search Agents

Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

EasyGraph is an open-source network analysis library designed to cover advanced network processing methods. It includes functionalities for detecting structural hole spanners, network embedding, an…

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

[ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"

The code and data for "StructGPT: A general framework for Large Language Model to Reason on Structured Data"

GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

Code for Husky, an open-source language agent that solves complex, multi-step reasoning tasks. Husky v1 addresses numerical, tabular and knowledge-based reasoning tasks.

(NeurIPS D&B 2024) STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

[ACL 2025 🔥] Rethinking Step-by-step Visual Reasoning in LLMs

GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)

Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

(NeurIPS 2024) AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning

[ICLR 2024] Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph