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We can choose between two standard ways to represent a graph as a collection of adjacency lists or as an adjacency matrix. Either way appliesto both directed and undirected graphs. Because the adjacency-list representationprovides a compact way to re…
其实算法本身不难,第一遍可以只看伪代码和算法思路.如果想进一步理解的话,第三章那些标记法是非常重要的,就算要花费大量时间才能理解,也不要马马虎虎略过.因为以后的每一章,讲完算法就是这样的分析,精通的话,很快就读完了.你所说的证明和推导大概也都是在第三章介绍了,可以回过头再认真看几遍. 至于课后题,比较难,我只做了前几章,如果要做完需要更多时间和精力.这可以通过之后做算法题来弥补,可以去leetcode等网站找一些经典的算法题做一做,加深理解. Facebook的工程师写的攻略,介绍了用算法导论来…
Chapter 1 Interesting read, but you can skip it. Chapter 2 2.1 Insertion Sort - To be honest you should probably know all major sorting algorithms, not just insertion sort. It's just basic knowledge and you never know when it can help.2.2 Analysis of…
Generative Graph Models 第八章传统的图生成方法> The previous parts of this book introduced a wide variety of methods for learning representations of graphs. In this final part of the book, we will discuss a distinct but closely related task: the problem of > g…
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5 DyREP:Learning Representations Over Dynamic Graphs link:https://scholar.google.com/scholar_url?url=https://par.nsf.gov/servlets/purl/10099025&hl=zh-CN&sa=X&ei=kIF4YrmVJ-OM6rQPxfOKUA&scisig=AAGBfm3I4EpwNkRLc5xhuaLEs47V0XWOzA&oi=schola…
Extracting knowledge from knowledge graphs using Facebook Pytorch BigGraph 2019-04-27 09:33:58 This blog is copied from: https://towardsdatascience.com/extracting-knowledge-from-knowledge-graphs-e5521e4861a0 Machine learning gives us the ability to t…
Videos as Space-Time Region Graphs ECCV 2018 Xiaolong Wang 2018-08-03 11:16:01 Paper:arXiv 本文利用视频中时空上的 proposal 之间的关系,来进行行为识别的建模. 如上图所示,本文将 video 看做是 a graph of objects,然后在该 graph 上进行行为识别的推理.整体的模型如图 2 所示,该方法将视频连续 5 秒的视频作为输入,传递给 3D-CNN.3D CNN 的输出是一个四维…
ICLR 2013 International Conference on Learning Representations May 02 - 04, 2013, Scottsdale, Arizona, USA ICLR 2013 Workshop Track Accepted for Oral Presentation Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sr…