Tool to convert datasets from "Benchmark Data Sets for Graph Kernels" (K. Kersting et al., 2016) into a format suitable for deep learning research.

NAG-FS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification.

Zabbix Graphs Bottleneck Classification automates bottleneck analysis in network infrastructure using deep learning and the Zabbix monitoring system. It quickly identifies and classifies bottlenecks, enabling proactive network management and optimization.

A repo for baseline of graph pooling.

Software implementation of Pyramidal Reservoir Graph Neural Networks

Few-Shot Graph Classification via distance metric learning.

Streamlit App for Node and Graph Classification and Explainability

Pattern Mining for the Classification of Public Procurement Fraud

A Julia package for kernel functions on graphs

Knowledge-Aware ICD Coding.

Signed Whole Graph Embeddings

One-representative shot learning for graph classification.

Re-implementation of G-Mixup: Graph Data Augmentation for Graph Classification

repo for learning graph neural network

A package for downloading and working with graph datasets

Project for the MVA course: Machine learning with kernel methods

This is the code of the paper Breaking the Expressive Bottleneck of Graph Neural Networks.

Data Mining course projects