Parameterized Hypercomplex Graph Neural Networks for Graph
Classification

Parameterized Hypercomplex Graph Neural Networks for Graph Classification

30 March 2021

Marco Bertolini

Frank Noé

Djork-Arné Clevert

Papers citing "Parameterized Hypercomplex Graph Neural Networks for Graph Classification"

9 / 9 papers shown

Title
High-Order Pooling for Graph Neural Networks with Tensor Decomposition Chenqing Hua Guillaume Rabusseau Jian Tang 75 25 0 24 May 2022
Hypercomplex Image-to-Image Translation Eleonora Grassucci Luigi Sigillo A. Uncini Danilo Comminiello 29 7 0 04 May 2022
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers Rabeeh Karimi Mahabadi James Henderson Sebastian Ruder MoE 67 468 0 08 Jun 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 916 0 02 Mar 2020
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing Titouan Parcollet Mohamed Morchid G. Linarès 140 93 0 31 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 273 1,944 0 09 Jun 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 259 3,239 0 24 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,636 0 03 Jul 2012