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Learning graph geometry and topology using dynamical systems based
  message-passing

Learning graph geometry and topology using dynamical systems based message-passing

18 September 2023
Dhananjay Bhaskar
Yanlei Zhang
Charles Xu
Xingzhi Sun
O. Fasina
Guy Wolf
Maximilian Nickel
Michael Perlmutter
Smita Krishnaswamy
    AI4CE
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Papers citing "Learning graph geometry and topology using dynamical systems based message-passing"

3 / 3 papers shown
Title
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds
Xingzhi Sun
Danqi Liao
Kincaid MacDonald
Yanlei Zhang
Chen Liu
Guillaume Huguet
Guy Wolf
Ian M. Adelstein
Tim G. J. Rudner
Smita Krishnaswamy
36
2
0
16 Oct 2024
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and
  Beyond
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond
Andi Han
Dai Shi
Lequan Lin
Junbin Gao
AI4CE
GNN
33
20
0
16 Oct 2023
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
161
1,095
0
27 Apr 2021
1