research
∙
07/03/2023
PlanE: Representation Learning over Planar Graphs
Graph neural networks are prominent models for representation learning o...
share
research
∙
02/04/2023
A Theory of Link Prediction via Relational Weisfeiler-Leman
Graph neural networks are prominent models for representation learning o...
research
∙
01/30/2023
Zero-One Laws of Graph Neural Networks
Graph neural networks (GNNs) are de facto standard deep learning archite...
research
∙
06/02/2022
Shortest Path Networks for Graph Property Prediction
Most graph neural network models rely on a particular message passing pa...
research
∙
12/10/2021
Equivariant Quantum Graph Circuits
We investigate quantum circuits for graph representation learning, and p...
research
∙
09/18/2021
Temporal Knowledge Graph Completion using Box Embeddings
Knowledge graph completion is the task of inferring missing facts based ...
research
∙
06/14/2021
Node Classification Meets Link Prediction on Knowledge Graphs
Node classification and link prediction are widely studied tasks in grap...
research
∙
10/02/2020
The Surprising Power of Graph Neural Networks with Random Node Initialization
Graph neural networks (GNNs) are effective models for representation lea...
research
∙
07/13/2020
BoxE: A Box Embedding Model for Knowledge Base Completion
Knowledge base completion (KBC) aims to automatically infer missing fact...
research
∙
02/17/2020
On the Approximability of Weighted Model Integration on DNF Structures
Weighted model counting admits an FPRAS on DNF structures. We study weig...
research
∙
10/04/2019
A Dichotomy for Homomorphism-Closed Queries on Probabilistic Graphs
We study the problem of probabilistic query evaluation (PQE) over probab...
research
∙
04/04/2019