Martin Grohe - A Deep Dive Into The Weisfeiler-Leman Algorithm

Martin Grohe - A Deep Dive into the Weisfeiler-Leman Algorithm

TCS Group at Jagiellonian

Martin Grohe: The Descriptive Complexity of Graph Neural Networks

Formal Languages and Neural Networks Seminar

Martin Grohe - BCC 2021

British Combinatorial Conference 2021

B2.3 Logarithmic Weisfeiler-Leman Identifies All Planar Graphs

Martin Grohe - Symmetry and Similarity

MUNI Seminar Series

Martin Grohe. Polylogarithmic Parameterized Algorithms for the Graph Isomorphism Problem

Frontiers of Parameterized Complexity

Learning Logically Defined Hypotheses - Martin Grohe, RWTH Aachen University

The Alan Turing Institute

Towards a Theory of Vector Embeddings of Graphs and Relational Data - Martin Grohe | DBML@ICDE 2022

Pascal Schweitzer, Deep Weisfeiler-Leman for graphs and other structures

Mathematical Center in Akademgorodok

Combinatorics Today Series #8: Prof. Martin Grohe

Yuk Kuliah Teori Graf

KR 2021 Invited talk by Martin Grohe: The Logic of Graph Neural Networks

KR conference series

Weisfeiler-Lehman WL Test for Graph Isomorphism explained visually & Message Passing NNs 2022

Martin Grohe, RWTH Aachen: First-Order Query Evaluation with Cardinality Conditions

F5.F — On the Weisfeiler-Leman Dimension of Finite Groups

Saarland Informatics Campus

Stanford CS224W: ML with Graphs | 2021 | Lecture 2.3 - Traditional Feature-based Methods: Graph

Stanford Online

Weisfeiler and Lehman Go Cellular: CW Networks | Researchers explain Graph Machine Learning Paper

Weisfeiler and Lehman Go Topological|| Hierarchical Learning to Solve PDEs Using PINNs|| Jan 7, 2022

CRUNCH Group: Home of Math + Machine Learning + X

Combinatorial Properties of the Weisfeiler-Leman Algorithm

Simons Institute

Michael Levet: Weisfeiler-Leman for Group Isomorphism

UofSC Discrete Mathematics Seminar