Weisfeiler and Leman Go Relational

30 November 2022

Papers citing "Weisfeiler and Leman Go Relational"

7 / 7 papers shown

Title
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases Hongyu Ren Mikhail Galkin Michael Cochez Zhaocheng Zhu J. Leskovec NAI GNN 41 35 0 26 Mar 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 35 24 0 04 Feb 2023
Weisfeiler-Lehman goes Dynamic: An Analysis of the Expressive Power of Graph Neural Networks for Attributed and Dynamic Graphs Silvia Beddar-Wiesing Giuseppe Alessio D’Inverno C. Graziani Veronica Lachi Alice Moallemy-Oureh F. Scarselli J. M. Thomas 31 9 0 08 Oct 2022
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges Bin Fu Yunqi Qiu Chengguang Tang Yang Li Haiyang Yu Jian Sun 161 95 0 26 Jul 2020
The expressive power of kth-order invariant graph networks Floris Geerts 128 37 0 23 Jul 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016