We present a new rank-based metric for embedding based Knowledge Graph Completion models.

code for zhijiang cup about zero shot learning

Joint Repository of GR Metrics Regression and Kinase Interaction Network (KIN) Clustering

Projects developed for the course Data Mining in KTH Royal Institute of Technology, including algorithms to find similar items, discover frequent itemsets, mine graph data streams and analyze graph spectra.

This repository provides classic clustering algorithms and various internal cluster quality validation metrics and also visualization capabilities to analyse the clustering results

Multi-source propagation aware network clustering (MSPANC) published in Neurocomputing 2021

Real-time and Explainable Detection of Epidemics with Global News Data, ICML 2022 Workshop on Healthcare AI and COVID-19

Codebase for graph clustering using GNN

Contains a collection of my experimentations, explorations, and data analysis of random datasets

PS-MCL : Parallel Shotgun Coarsening Markov Clustering for Fast and Efficient Graph Clustering

Well balanced hierarchical graph clustering

💻💡💪 D4GEN2023 Hackaton 🧬🏆👨‍💻

ACM MM 2023: ISelf-contrastive graph diffusion network

✈ ADMON is short for Adaptive Deep Modularity Network, a data-driven graph model which is capable of simultaneously learning airport connections and clustering based on the delay patterns.

The source code of a community detection method for paper "Neighbor Similarity Based Agglomerative Method for Community Detection in Networks".

Consistency-aware and inconsistency-aware graph-based multi-view clustering

A solver for a class of constrained graph clustering problems

Final graduation project.

Visualize different graph clustering algorithms in adjacency matrix interactive plot

The source code of paper "Shared-Attribute Multi-Graph Clustering with Global Self-Attention"