Graph Algorithms

Machine Learning for Subgraph Extraction: Methods, Applications and Challenges – Community Detection & Maximum Common Subgraph
Subgraphs are obtained by extracting a subset of vertices and a sub- set of edges from the associated original graphs, and many graph …
Aug 31, 2023 10:30 — 12:00 Vancouver, Canada
Machine Learning for Subgraph Extraction: Methods, Applications and Challenges – Community Detection & Maximum Common Subgraph
Scaling up Graph Neural Networks
Qualifying Examinations report.
Scaling up Graph Neural Networks
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
A feature-oriented GNN that scales to billion-scale extremely large graphs.
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization
A Survey on Machine Learning Solutions for Graph Pattern Extraction
A subgraph is constructed by using a subset of vertices and edges of a given graph. There exist many graph properties that are …
Kai Siong Yow, Ningyi Liao, Siqiang Luo, Reynold Cheng, Chenhao Ma, Xiaolin Han
A Survey on Machine Learning Solutions for Graph Pattern Extraction
Network Compression in Federated Machine Learning
Qualifying Examinations report.
Network Compression in Federated Machine Learning