abojchevski
Professor at the University of Cologne. Trustworthy Machine Learning & ML on Graphs.
Munich
Pinned Repositories
CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
graph2gauss
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
graph_cert
Certifiable Robustness to Graph Perturbations
nips-scraper
Scrapes the abstracts to NIPS 2017 papers.
node_embedding_attack
Adversarial Attacks on Node Embeddings via Graph Poisoning
paican
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
rsc
Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings".
sparse_smoothing
Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More"
netgan
Implementation of the paper "NetGAN: Generating Graphs via Random Walks".
abojchevski's Repositories
abojchevski/graph2gauss
Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".
abojchevski/node_embedding_attack
Adversarial Attacks on Node Embeddings via Graph Poisoning
abojchevski/sparse_smoothing
Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More"
abojchevski/rsc
Robust Spectral Clustering. Implementation of "Robust Spectral Clustering for Noisy Data: Modeling Sparse Corruptions Improves Latent Embeddings".
abojchevski/paican
Implementation of "Bayesian Robust Attributed Graph Clustering: Joint Learning of Partial Anomalies and Group Structure".
abojchevski/graph_cert
Certifiable Robustness to Graph Perturbations
abojchevski/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
abojchevski/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
abojchevski/nips-scraper
Scrapes the abstracts to NIPS 2017 papers.
abojchevski/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
abojchevski/abojchevski.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
abojchevski/interactive
abojchevski/labwatch
An extension to Sacred for automated hyperparameter optimization.
abojchevski/pymc3
Probabilistic Programming in Python. Uses Theano as a backend, supports NUTS and ADVI.
abojchevski/pytorch_geometric
Graph Neural Network Library for PyTorch
abojchevski/test