Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

links to conference publications in graph-based deep learning

Democratizing Reinforcement Learning for LLMs

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

《推荐系统实践》代码实现

Crawl & visualize ICLR papers and reviews.

OpenEQA Embodied Question Answering in the Era of Foundation Models

PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)

[Neurips2024] Source code for xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

Official repository of DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Language Models

my commonly-used tools

爬取新浪微博数据并可视化分析

[ACL 2024]Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs

[ECCV'24] Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene.