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