Effective Number of Lines 以下討論時，ML是否可行。考慮以下條件: 即如下圖所示： 可見與圖中處時，而由藍色區域結合uniform distribution的CDF判斷 。 令 即 即只要，會大於設定的threshold。 所以: 這邊我們的有無數多個,可...
Traditional ML for Graphs 在傳統的Graph ML中我們通過Feature engineering 處理原始輸入的graph得到Structured Feature，再將這些結構化的特征輸入ML演算法中得到可供預測用的機器學習模型。 Graph Representat...
Infeasibility of Learning All learning algorithm has its assumptions behind. No algorithm is best for all learning problems. 上圖中 對於data set中的所有個例...
Outline Lecture 2: The Learning Problems Learning with Different Output Space Learning with Different Data Label Learning with Different Protocol ...
前言 本筆記來自台大林軒田老師的CSIE5043 Machine Learning 2021FALL課程，於此做一個學習記錄。 What is Machine Learning skill: improve some performance measure(e.g. prediction ...
Goal: We want features that characterize the structure of an entire graph Background: Kernel Methods Idea: Design kernels instead of feature vectors...
Link-level Prediction: predict new links based on existing links. The key is to design features for a pair of nodes. > Two formulations of the ...
Motivation We wanna be able to create additional features that will describe how this particular node is positioned in the rest of the network, and wha...
Components of a Network(graph) Object: nodes,vertices Interactions: links,edges System: network,graph Types of graph 有向圖與無向圖的選擇： ...
Different tasks of GraphML Node classification: Predict a property of a node.(e.g. Categorize online users) Link prediction: Predict whether there are...