Graham Mueller bio photo

Graham Mueller

Applied mathematics refugee, PhD economist, interested in time series, machine learning and graph theory.

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All Posts

2025

Differentiable Community Detection with GNNs and Stochastic Block Models

Using SBM likelihood as loss functions for unsupervised GNN training

2024

Using Hypervectors for Efficient Anomaly Detection in Graph Streams

Real-time network anomaly detection with Hyperdimensional Computing

2019

Using Machine Learning to Predict Critical Security Vulnerabilities from Twitter

Our NAACL 2019 paper on analyzing cybersecurity threats on social media was featured in Wired

2018

Boxing's Grandmasters Part II

Analysis of Historical boxing data

2016

Deep Learning for Time Series, pt. 1

2015

Boxing's Grandmasters

Analysis of Historical boxing data

2014

Spectral clustering

Webpage clustering using spectral clustering

Dynamic Time Warping

Temporal semantic analysis

2013

d3 to svg

Demo converting d3 to svg