Expressive Power of Temporal Message Passing

Expressive Power of Temporal Message Passing

19 August 2024

Przemysław Andrzej Wałęga

Papers citing "Expressive Power of Temporal Message Passing"

8 / 8 papers shown

Title
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 53 9 0 08 Oct 2022
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 142 1,228 0 04 Nov 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 176 643 0 18 Jun 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 100 626 0 19 Feb 2020
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 66 343 0 11 Jul 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 100 456 0 27 May 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,517 0 20 Dec 2018
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014