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Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction
  Representation

Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation

2 January 2022
Mohammadamin Tavakoli
Alexander Shmakov
Francesco Ceccarelli
Pierre Baldi
    GNN
ArXivPDFHTML

Papers citing "Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation"

5 / 5 papers shown
Title
Recent Advances in Hypergraph Neural Networks
Murong Yang
Xin-Jian Xu
GNN
80
0
0
11 Mar 2025
SE3Set: Harnessing equivariant hypergraph neural networks for molecular
  representation learning
SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning
Hongfei Wu
Lijun Wu
Guoqing Liu
Zhirong Liu
Bin Shao
Zun Wang
43
1
0
26 May 2024
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways
  via Contrastive Learning
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning
Mohammadamin Tavakoli
Y. T. T. Chiu
Alexander Shmakov
Ann Marie Carlton
David Van Vranken
Pierre Baldi
25
2
0
02 Nov 2023
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
ChemAlgebra: Algebraic Reasoning on Chemical Reactions
Andrea Valenti
D. Bacciu
Antonio Vergari
OOD
LRM
32
0
0
05 Oct 2022
Mapping the Space of Chemical Reactions Using Attention-Based Neural
  Networks
Mapping the Space of Chemical Reactions Using Attention-Based Neural Networks
P. Schwaller
Daniel Probst
Alain C. Vaucher
Vishnu H. Nair
D. Kreutter
Teodoro Laino
J. Reymond
144
225
0
09 Dec 2020
1