chrsmrrs
Working on ML for graphs and in ML \cap combinatorial optimization.
RWTH Aachen UniversityAachen, Germany
Pinned Repositories
amenability_test
Implementation of the algorithm described in the paper "On the Power of Color Refinement".
chrsmrrs.github.io
Homepage
CV
Academic CV of Christopher Morris.
datasets
glocalwl
Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".
hashgraphkernel
Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
sparsewl
Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
SpeqNets
tudataset
chrsmrrs's Repositories
chrsmrrs/k-gnn
Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".
chrsmrrs/tudataset
chrsmrrs/sparsewl
Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
chrsmrrs/CV
Academic CV of Christopher Morris.
chrsmrrs/SpeqNets
chrsmrrs/glocalwl
Source code for our IEEE ICDM 2017 paper "Glocalized Weisfeiler-Lehman Graph Kernels: Global-Local Feature Maps of Graphs".
chrsmrrs/hashgraphkernel
Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
chrsmrrs/chrsmrrs.github.io
Homepage
chrsmrrs/datasets
chrsmrrs/amenability_test
Implementation of the algorithm described in the paper "On the Power of Color Refinement".
chrsmrrs/localwl
chrsmrrs/articletemplate
LaTeX template for a journal article.
chrsmrrs/slidestemplate
LaTeX template for talk slides.
chrsmrrs/wl_vs_vc
chrsmrrs/www.ecole.ai
Website for Ecole
chrsmrrs/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
chrsmrrs/probing-graph-transformers
Code for our paper "Attending to Graph Transformers"
chrsmrrs/pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
chrsmrrs/wl_vc_expressivity