Signed Whole Graph Embeddings

Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…

[IJCNN 2021] Structure-Aware Hierarchical Graph Pooling using Information Bottleneck

A scikit-learn compatible library for graph kernels

Repo containing project files for "Advanced Statistical Learning for Complex Data" course taken during academic year 2023-2024 of PhD in DADS at Politecnico di Milano.

Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective

Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]

Knowledge-Aware ICD Coding.

Papers on Graph Pooling for GNN and their bioinformatics application

This project uses graph theory to represent and navigate maps, providing a graphical user interface for visualization and employing Dijkstra's algorithm for finding the shortest paths between intersections. It supports map visualization, pathfinding, and interactive navigation through a command-line application and Swing-based interface.

repo for learning graph neural network

Self-Attention Graph Pooling [ICML-2019]

Streamlit App for Node and Graph Classification and Explainability

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

Few-Shot Graph Classification via distance metric learning.

A curated list of data mining papers about fraud detection.

CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Pattern Mining for the Classification of Public Procurement Fraud