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DeepABM: Scalable, efficient and differentiable agent-based simulations
  via graph neural networks

DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks

9 October 2021
Ayush Chopra
E. Gel
J. Subramanian
Balaji Krishnamurthy
S. Romero-Brufau
K. Pasupathy
T. Kingsley
Ramesh Raskar
    AI4CE
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Papers citing "DeepABM: Scalable, efficient and differentiable agent-based simulations via graph neural networks"

4 / 4 papers shown
Title
Hierarchical Message-Passing Graph Neural Networks
Hierarchical Message-Passing Graph Neural Networks
Zhiqiang Zhong
Cheng-Te Li
Jun Pang
72
49
0
08 Sep 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
434
42,393
0
03 Dec 2019
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
454
20,124
0
30 Oct 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
597
28,999
0
09 Sep 2016
1