Do We Really Need Complicated Model Architectures For Temporal Networks?

Do We Really Need Complicated Model Architectures For Temporal Networks?

22 February 2023

Mehrdad Mahdavi

Papers citing "Do We Really Need Complicated Model Architectures For Temporal Networks?"

10 / 10 papers shown

Title
ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Xiang Wu Miao Hu Rong-Hua Li Kangfei Zhao Guoren Wang AI4TS AI4CE 93 0 0 27 Jan 2025
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 103 1 0 21 Dec 2024
Learning production functions for supply chains with graph neural networks Serina Chang Zhiyin Lin Benjamin Yan Swapnil Bembde Qi Xiu ... Yu Qin Frank Kloster Alex Luo Raj Palleti J. Leskovec GNN AI4TS 81 1 0 26 Jul 2024
Provably expressive temporal graph networks Amauri Souza Diego Mesquita Samuel Kaski Vikas Garg 103 55 0 29 Sep 2022
TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs Hongkuan Zhou Da Zheng Israt Nisa Vasileios Ioannidis Xiang Song George Karypis AI4CE 55 87 0 28 Mar 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 378 2,638 0 04 May 2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Yanbang Wang Yen-Yu Chang Yunyu Liu J. Leskovec Pan Li CML AI4TS 46 232 0 15 Jan 2021
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 73 638 0 18 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 77 675 0 09 Jun 2020
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 495 5,457 0 20 Dec 2018