Projects in Awesome Lists by BorgwardtLab
A curated list of projects in awesome lists by BorgwardtLab .
https://github.com/borgwardtlab/sat
Official Pytorch code for Structure-Aware Transformer.
graph-neural-networks graph-representation-learning graph-transformer icml-2022
Last synced: 09 Apr 2025
https://github.com/BorgwardtLab/TOGL
Topological Graph Neural Networks (ICLR 2022)
graph-classification graph-learning iclr2022 machine-learning node-classification persistent-homology pytorch pytorch-geometric
Last synced: 15 Jul 2025
https://github.com/borgwardtlab/set_functions_for_time_series
Repository of the ICML 2020 paper "Set Functions for Time Series"
deep-learning icml-2020 set-functions time-series-analysis
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/togl
Topological Graph Neural Networks (ICLR 2022)
graph-classification graph-learning iclr2022 machine-learning node-classification persistent-homology pytorch pytorch-geometric
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/graphkernels
A package for computing Graph Kernels
graph-classification graph-comparison graph-kernels kernels python-package
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/proteinshake
Protein structure datasets for machine learning.
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/wwl
Wasserstein Weisfeiler-Lehman Graph Kernels
Last synced: 03 Apr 2025
https://github.com/BorgwardtLab/P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman
Last synced: 27 Mar 2025
https://github.com/borgwardtlab/p-wl
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
graph-classification graph-kernels machine-learning persistent-homology topological-data-analysis weisfeiler-lehman
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/s3m
A software package for statistically significant shapelet mining
biomedical biomedical-data-science shapelets significant-pattern-mining time-series time-series-analysis time-series-analysis-tool
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/sampling-outlier-detection
Rapid computation of distance-based outlierness scores via sampling
Last synced: 25 Aug 2025
https://github.com/borgwardtlab/pst
Protein Structure Transformer (PST): Endowing pretrained protein language models with structural knowledge
evolutionary-scale-modeling graph-transformer protein-representation-learning protein-structure
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/neural-persistence
Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'
algebraic-topology deep-learning iclr iclr2019 machine-learning neural-networks persistent-homology
Last synced: 16 Aug 2025
https://github.com/borgwardtlab/neuralwalker
Official Pytorch implementation of NeuralWalker
graph-neural-networks graph-representation-learning graph-transformer random-walk state-space-models
Last synced: 14 Apr 2025
https://github.com/borgwardtlab/maldi-learn
Software library for Maldi-Tof preprocessing and machine learning analysis.
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/pychange
Multiple change detection with python
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/wtk
A Wasserstein Subsequence Kernel for Time Series.
data-mining machine-learning optimal-transport time-series-classification
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/maldi_amr
Code for the paper "Antimicrobial resistance prediction in clinical isolates through machine learning on MALDI-TOF mass spectra"
antimicrobial-resistance maldi-tof-mass-spectrometry maldi-tof-ms python
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/filtration_curves
Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
graph-classification graph-representation kdd2021 topological-data-analysis
Last synced: 27 Feb 2026
https://github.com/borgwardtlab/mvkdr
Multi-view Spectral Clustering on Conflicting Views
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/jointmds
Official implementation of Joint Multidimensional Scaling
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/fmri_cubical_persistence
Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
cubical-complex cubical-complexes neurips neurips-2020 persistent-homology tda topological-data-analysis
Last synced: 07 Mar 2026
https://github.com/borgwardtlab/motifiesta
Approximate subgraph motif mining through learnable edge contraction.
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/ggme
Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n
evaluation-framework evaluation-metrics generative-model graph-learning machine-learning
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/kernelized-rank-learning
Kernelized rank learning for personalized drug recommendation
Last synced: 10 Sep 2025
https://github.com/borgwardtlab/recombat
reComBat package to correct batch effects
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/fisher_information_embedding
Official code for Fisher information embedding for node and graph learning (ICML 2023)
attention-model graph-kernels graph-learning graph-neural-networks icml-2023 information-geometry
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/mid
MID (Mutual Information Dimension) for measuring statistical dependence between two random variables
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/networkgwas
Method for performing genome-wide association like studies on neighborhoods identified on biological networks relevant for the phenotype of interest.
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/graphkernels-review
Code and data sets for the review on graph kernels
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/casmap
Detection of statistically significant combinations of SNPs in association mapping
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/maldi_pike
Code for 'Topological and kernel-based microbial phenotype prediction from MALDI-TOF mass spectra'
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/sinimin
Significant Network Interval Mining
interactions networks statistical-testing
Last synced: 21 Aug 2025
https://github.com/borgwardtlab/2019-06-machine-learning-for-biology
Introduction to Machine Learning for Biology (Workshop @ D-BSSE Retreat 2019)
latex-document machine-learning machine-learning-tutorials slides
Last synced: 10 Jun 2025
https://github.com/borgwardtlab/adni_3dcnnvstda
This is a summary of the model code used in "Back to the basics with inclusion of clinical domain knowledge - A simple, scalable and effective model of Alzheimer's Disease classification". It comprised the relevant 3D CNNs for hippocampus, patch and full inner brain image subsets, the TDA 2D CNN with relevant dense models to combine models trained on persistence images from different homological dimensions. Moreover, the models (GNN and LR) to combine multiple image patches are included, as well as the data splits in terms of ADNI database patient IDs (partitions).
Last synced: 17 Aug 2025
https://github.com/borgwardtlab/topf
Topological peak filtering
peak-detection persistent-homology topological-data-analysis
Last synced: 14 Apr 2025
https://github.com/borgwardtlab/significant-subgraph-mining
Finding statistically significant subgraphs while correcting for multiple testing
Last synced: 29 Oct 2025
https://github.com/borgwardtlab/lmm-lasso
An implementation of the Lasso model for association mapping and phenotype prediction which corrects for population strucure (Rakitsch et al., Bioinformatics 2013): http://goo.gl/FRmXwI
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/kernel-conditional-clustering
Kernel Conditional Clustering
Last synced: 15 Jul 2025
https://github.com/borgwardtlab/hogimine
Higher-order genetic interaction discovery with network-based biological priors.
bioinformatics gwas-tools ismb2023 pattern-mining
Last synced: 24 Oct 2025
https://github.com/borgwardtlab/graphhopper-kernels
Scalable kernels for graphs with continuous attributes (Feragen et al., NIPS 2013) http://goo.gl/VxSfzZ
Last synced: 13 Jun 2025
https://github.com/borgwardtlab/uea_ucr_datasets
A small package for loading and handling UEA UCR time series classification datasets.
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/lsh-wtk
Locality-Sensitive Hashing for the Wasserstein Time Series Kernel.
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/autoregressive-noisy-filtration-modeling
Official implementation of the ANFM graph generative model
generative-model graph-generation graph-generative-model graph-neural-networks
Last synced: 15 Apr 2025
https://github.com/borgwardtlab/epistasis-glide
A C and CUDA implementation of tabulating linear regression for an exhaustive pairwise interaction search on a CUDA enabled GPU (Kam-Thong et al., Human Heredity 2012) http://goo.gl/XE54ir
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/ardiss
Automatic Relevance Determination for Imputation of Summary Statistics
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/gnnscancountsubstructures
Code and Data for the paper: "Graph Neural Networks Can (Often) Count Substructures" (ICLR 2025 Spotlight)
gnns iclr2025 subgraph-isomorphism
Last synced: 11 Feb 2026
https://github.com/borgwardtlab/findcomb
Scientifica app for finding the most significant combinations of features
Last synced: 18 Jul 2025
https://github.com/borgwardtlab/simbsig
The official implementation for the SIMBSIG package
Last synced: 11 Jul 2025
https://github.com/borgwardtlab/multi-scones
Multi-task feature selection coupled with multiple network regularizers
Last synced: 13 Jul 2025
https://github.com/borgwardtlab/graphmatchingsubstitutionmatrices
Code and Data for the paper: Structure- and Function-Aware Substitution Matrices via Learnable Graph Matching (RECOMB 2024 & ICML 2024 Differentiable Almost Everything Workshop)
graph-matching icml-2024 recomb2024 substitution-matrices
Last synced: 19 Jan 2026
https://github.com/borgwardtlab/mods-recovery
Codes for prediction of the recovery of pediatric sepsis patients with MODS
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/epistasis-lightbulb
Efficient algorithms and GPU implementations for genome-wide epistasis screens as described in (Achlioptas et al., KDD 2011) http://goo.gl/jX8kPi
Last synced: 30 Jul 2025
https://github.com/borgwardtlab/batchcorrectionpublicdata
Summary of the code published in 'reComBat: Batch effect removal in large-scale, multi-source omics data integration'.
Last synced: 06 Oct 2025
https://github.com/borgwardtlab/sc-autoencoding
student internship of Simon Streib to reduce single cell data
Last synced: 21 Jul 2025
https://github.com/borgwardtlab/significantpatternminingfdr
Code and Data for the paper: FASM and FAST-YB: Significant Pattern Mining with False Discovery Rate Control (ICDM 2023).
Last synced: 30 Aug 2025
https://github.com/borgwardtlab/ccsvm
Confounder-corrected Classification with Support Vector Machines (Li et al., Bioinformatics 2011) http://goo.gl/Qz9Ap5
Last synced: 01 Sep 2025
https://github.com/borgwardtlab/moproembeddings
Implementation of moment propagation embeddings.
Last synced: 08 Aug 2025
https://github.com/borgwardtlab/longcovid
Prediction of long COVID from proteomic and clinical data
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/homebrew-mlcb
Homebrew taps of the Machine Learning and Computational Biology group of Prof. Karsten Borgwardt
Last synced: 21 May 2026
https://github.com/borgwardtlab/gene-representations-in-networks
A systematic evaluation of gene representations in network based genetic analysis
Last synced: 11 Oct 2025
https://github.com/borgwardtlab/glide-scripts
Companion scripts to the GLIDE software
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/tda-cnn-ad
Model combining topological descriptors with patch based MR imaging features
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/baselepi
SEIR model framework used to describe the spread of the first SARS-CoV-2 wave within Basel-City
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/alloimmunity-kinetics
Code for "Pre-transplant kinetics of anti-HLA antibodies in patients on the kidney transplant waiting list."
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/conformalamr
Main repository for "Antimicrobial drug recommendation from MALDI-TOF MS with statistical guarantees using conformal prediction"
Last synced: 15 Mar 2025
https://github.com/borgwardtlab/spinoptmmd
This is the official repository for our paper
Last synced: 01 Jan 2026
https://github.com/borgwardtlab/esm3_on_raven
Code and guide for distributed embedding generation using ESM‑3 on the MPCDF Raven GPUs.
Last synced: 21 Jun 2025
https://github.com/borgwardtlab/cofi
Visualization and analysis of data sets containing time series with history information
Last synced: 24 Sep 2025
https://github.com/borgwardtlab/deepgwas-genereps
Set learning for obtaining gene representations for deep GWAS approaches
Last synced: 15 Mar 2025