Navigation to the Graph based Model

This Page is for the Navigation for the note about Graph in my website, the date of this page updating would follow a random walk, but I promise I would update it in every 2 weeks phase .

Graph based model is so beautiful so I decide to use a individual page for navigation.The Graph based model in my website would be put into the following parts

1. Basic Knowledge :The basic knowledge in the Graph based Learning, which also would a course note to the Stanford CS224W
2. Probabilistic Graph Model(PGM) : Bayesian Network / Markov Network . Which also would be a course note to the PGM in the Coursera.
3. Graph Neural Network (GNN) : The neural network based on the Graph structure.
4. Knowledge Graph: The Knowledge is putting into the Graph structure, because I am so interesting in this ,so I decide to use a single part to put the relevant pages.

Basic Knowledge

Basic Knowledge to Graph

Structure in Network

Evaluation in Network

Flow in Graph

Graph Generation

Graph Neural Network

Graph Representation Learning

Node Classification

Template Models

Introduction To Bayesian Network

Overview Of PGM

PGM

Template Models

Introduction To Bayesian Network

Overview Of PGM

GNN

Graph Neural Network

【Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction】

【Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis】(Graph Based Approach)

Knowledge Graph

【QUERY2BOX: REASONING OVER KNOWLEDGE G RAPHS IN VECTOR SPACE USING BOX EMBEDDINGS】

【Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis】(Graph Based Approach)

【Knowledge-Driven Event Embedding for Stock Prediction】

Knowledge Graph Introduction