图像取点建立坐标系软件。 ngauge Digitizer官方版是一款界面直观、功能出众、操作流畅的图形数字化工具。Engauge Digitizer官方版可以轻松的将曲线图转化成数据，并支持对曲线图进行自动曲线追踪并自动去掉坐标网格，支持处理极坐标系、线性坐标系、对数坐标系等。

Object Detection API是谷歌开放的一个内部使用的物体识别系统。2016年10月，该系统在COCO识别挑战中名列第一。它支持当前最佳的实物检测模型，能够在单个图像中定位和识别多个对象。该文件是物体识别API中的ssd_mobilenet_v1_coco模型。SSD模型使用了轻量化的MobileNet，这意味着它们可以轻而易举地在移动设备中实时使用。

The dataset uses NLP and Text Mining technology to develop Chinese Medical Knowledge Graph. user guide.pdf

FullBNT-1.0.7下载及draw_graph箭头显示问题-附件资源

知识图谱一直是学术界和工业界关注的热点。随着AAAI2020的到来，以下整理了最新10篇关于知识图谱的论文，来自清华大学、中科大、北航、中山大学、UCL、Facebook、腾讯、阿里巴巴等，包含义原知识图谱、知识图谱表示学习、知识迁移、知识图谱层次表示、常识知识图谱补全等，请大家查看！

当然只是我刷了点小聪明，编辑了一下原版的大师编的pdf,但不好打印啊，所以就想办法折腾了一下啊，终于能A4单面双页打印省钱了啊，呵呵，这本书很经典啊，给大家分享啊

Accenture-2021-Canadian-Fintech-Report-Charts-Graph.pdf

Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures (Volume 2) By 作者: Tim Roughgarden ISBN-10 书号: 0999282921 ISBN-13 书号: 9780999282922 Edition 版本: First 出版日期: 2018-08-05 pages 页数: (222 ) $17.99 Algorithms are the heart and soul of computer science. Their applications range from network routing and computational genomics to public-key cryptography and machine learning. Studying algorithms can make you a better programmer, a clearer thinker, and a master of technical interviews. Algorithms Illuminated is an accessible introduction to the subject for anyone with at least a little programming experience. The exposition emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details—like a transcript of what an expert algorithms tutor would say over a series of one-on-one lessons. The book includes solutions to all quizzes and selected problems, and a series of YouTube videos by the author accompanies the book. Part 2 of this book series covers graph search and its applications, shortest-path algorithms, and the applications and implementation of several data structures: heaps, search trees, hash tables, and bloom filters.

该项目包含由应用计算机科学研究所在Łódź技术大学开发的网络图形压缩算法的实现。

The primary aim of this book is to present a coherent introduction to graph theory, suitable as a textbook for advanced undergraduate and beginning graduate students in mathematics and computer science. It provides a systematic treatment of the theory of graphs without sacrificing its intuitive and aesthetic appeal. Commonly used proof techniques are described and illustrated. The book also serves as an introduction to research in graph theory.