sharpenb/Multi-Scale-Modularity-Graph-Clustering

Stars
3
Rank 3,963,521 (Top 79 %)
Language
Jupyter Notebook
Created over 6 years ago
Updated over 3 years ago

sharpenb/Multi-Scale-Modularity-Graph-Clustering

sharpenb

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Multi-scale Clustering in Graphs using Modularity (DiVA)

Posterior-Network

Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)

Jupyter Notebook

Differentiable-DAG-Sampling

Differentiable DAG Sampling (ICLR 2022)

Uncertainty-Event-Prediction

Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)

Hierarchical-Paris-Clustering

Hierarchical Graph Clustering using Node Pair Sampling (MLG, KDD Workshop) - Multi-scale Clustering in Graphs using Modularity (DiVA)

Aleatoric-Epistemic-Uncertainty-RL

Distribution-Free Uncertainty Quantification Workshop (DFUQ - ICML 2022)

Tree-Sampling-Divergence

Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering (IJCAI 2019)

Jupyter Notebook

static-dynamic-graff

GRAFF: Understanding Convolution on Graphs via Energies (TMLR 2023)

Text-Classification-using-String-Kernels