# Papers Collection

# Papers

## Graph Learning

### Surveys

Machine Learning on Graphs: A Model and Comprehensive Taxonomy

### Classical Approach of Node Embedding

## Combinatorial Optimization using Machine Learning

### Surveys

Combinatorial Optimization and Reasoning with Graph Neural Networks

Machine Learning for Combinatorial Optimization: a Methodological Tour d’Horizon

## GRAPH MINING

### k-core decoposition (distributed direction)

### Community Search

### Number Partition

### Graph Partition

- balancedGraphPartition(Classic)
- Streaming Graph Partitioning: An Experimental Study
- Streaming Balanced Graph Partitioning Algorithms for Random
- A Study of Partitioning Policies for Graph Analytics on Large-scale Distributed Platforms
- Dynamic Scaling for Parallel Graph Computations
- PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs
- A survey of partition papers blog
- HDRF: Stream-Based Partitioning for Power-Law Graphs
- Windows-based Streaming Partitioning Algorithm(A very good example of windows based method)

### Algorithm over large graph

#### PageRank

#### K-core Decomposition

- An Experimental Comparison of Partitioning Strategies in Distributed Graph Processing(metioned in 3.3)
- Slides from Uwaterloo about graph partition
- Efficient Core Decomposition in Massive Networks

## My

ITAM-24:Intelligent Assistant Medical Diagnosis Based on Online Interactive Information

Gini Methodology Appllied to Macroeconomics Forecasting

# Books

## Algebra & Basic Maths

### Matrix Computation

## Algorithms

## Computer Archs

## Prob & Stats

The Elements of Statistical Learning