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2107.09422
Cited By
Large-scale graph representation learning with very deep GNNs and self-supervision
20 July 2021
Ravichandra Addanki
Peter W. Battaglia
David Budden
Andreea Deac
Jonathan Godwin
Thomas Keck
Wai Lok Sibon Li
Alvaro Sanchez-Gonzalez
Jacklynn Stott
S. Thakoor
Petar Velivcković
SSL
AI4CE
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Papers citing
"Large-scale graph representation learning with very deep GNNs and self-supervision"
8 / 8 papers shown
Title
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength
Tongya Zheng
Tianli Zhang
Qingzheng Guan
Wenjie Huang
Zunlei Feng
Min-Gyoo Song
Chun-Yen Chen
AI4CE
13
1
0
26 Jul 2023
Extreme Acceleration of Graph Neural Network-based Prediction Models for Quantum Chemistry
Hatem Helal
J. Firoz
Jenna A. Bilbrey
M. M. Krell
Tom Murray
Ang Li
S. Xantheas
Sutanay Choudhury
GNN
23
5
0
25 Nov 2022
Unified 2D and 3D Pre-Training of Molecular Representations
Jinhua Zhu
Yingce Xia
Lijun Wu
Shufang Xie
Tao Qin
Wen-gang Zhou
Houqiang Li
Tie-Yan Liu
AI4CE
49
67
0
14 Jul 2022
Direct Molecular Conformation Generation
Jinhua Zhu
Yingce Xia
Chang-Shu Liu
Lijun Wu
Shufang Xie
...
Tao Qin
Wen-gang Zhou
Houqiang Li
Haiguang Liu
Tie-Yan Liu
17
40
0
03 Feb 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,100
0
27 Apr 2021
Large-Scale Representation Learning on Graphs via Bootstrapping
S. Thakoor
Corentin Tallec
M. G. Azar
Mehdi Azabou
Eva L. Dyer
Rémi Munos
Petar Velivcković
Michal Valko
SSL
13
213
0
12 Feb 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
89
127
0
11 Mar 2020
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
183
913
0
02 Mar 2020
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