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Graph Neural Networks for Molecules
v1v2 (latest)

Graph Neural Networks for Molecules

12 September 2022
Yuyang Wang
Zijie Li
A. Farimani
    GNNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Graph Neural Networks for Molecules"

5 / 5 papers shown
Title
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model
Statistical physics analysis of graph neural networks: Approaching optimality in the contextual stochastic block model
O. Duranthon
L. Zdeborová
119
0
0
03 Mar 2025
GraphXForm: Graph transformer for computer-aided molecular design
GraphXForm: Graph transformer for computer-aided molecular design
Jonathan Pirnay
Jan G. Rittig
Alexander B. Wolf
Martin Grohe
Jakob Burger
Alexander Mitsos
D. G. Grimm
AI4CE
161
1
0
03 Nov 2024
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
Zhaoning Yu
Hongyang Gao
134
3
0
21 May 2024
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
358
4,115
0
17 Jun 2020
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
645
958
0
02 Mar 2020
1