Pseudo-Riemannian Graph Convolutional Networks

Pseudo-Riemannian Graph Convolutional Networks

6 June 2021

Nico Potyka

Papers citing "Pseudo-Riemannian Graph Convolutional Networks"

6 / 6 papers shown

Title
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 19 3 0 25 Jan 2024
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 29 19 0 15 Jun 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 28 0 0 02 Mar 2023
Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs Linhao Luo Reza Haffari Shirui Pan AI4TS 23 30 0 15 Nov 2022
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Jia Wu Yanan Cao Bin Wang 56 90 0 23 Oct 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 229 1,935 0 09 Jun 2018