本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

VF3 Algorithm - The fastest algorithm to solve subgraph isomorphism on large and dense graphs

AAGNet, for automatic machining feature recognition using a geometric Attributed Adjacency Graph (gAAG) representation that preserves topological, geometric, and extended attributes from neutral bo…

深度学习经典、新论文逐段精读

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

Code for UV-Net: Learning from Boundary Representations, CVPR 2021.

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

ABC: A Big CAD Model Dataset For Geometric Deep Learning

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints

JSON for Modern C++

break on access to a property

计算机自学指南

一站式云原生实时流数据平台，通过0侵入、插件化构建企业级Kafka服务，极大降低操作、存储和管理实时流数据门槛

Simple C++ KD-Tree implementation

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and…