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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"
20 / 20 papers shown
Title
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
Zeyi Xu
Jinfan Liu
Kuangxu Chen
Ye Chen
Zhangli Hu
Bingbing Ni
52
0
0
13 Mar 2025
ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction
Izzeddin Teeti
Aniket Thomas
Munish Monga
S. Kumar
Uddeshya Singh
Andrew Bradley
Biplab Banerjee
Fabio Cuzzolin
38
0
0
20 Jan 2025
A review of graph neural network applications in mechanics-related domains
Yingxue Zhao
Haoran Li
Haosu Zhou
H. Attar
Tobias Pfaff
Nan Li
AI4CE
29
5
0
10 Jul 2024
Training-free Graph Neural Networks and the Power of Labels as Features
Ryoma Sato
26
4
0
30 Apr 2024
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
31
1
0
26 Jul 2023
Anticipating Technical Expertise and Capability Evolution in Research Communities using Dynamic Graph Transformers
Sameera Horawalavithana
Ellyn Ayton
A. Usenko
Robin Cosbey
Svitlana Volkova
AI4TS
15
0
0
18 Jul 2023
Evolving Computation Graphs
Andreea Deac
Jian Tang
22
1
0
22 Jun 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
31
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
54
67
0
14 Jul 2022
Affinity-Aware Graph Networks
A. Velingker
A. Sinop
Ira Ktena
Petar Velickovic
Sreenivas Gollapudi
GNN
48
16
0
23 Jun 2022
Ordered Subgraph Aggregation Networks
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
41
56
0
22 Jun 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
26
41
0
03 Feb 2022
Graph Neural Network Training with Data Tiering
S. Min
Kun Wu
Mert Hidayetoğlu
Jinjun Xiong
Xiang Song
Wen-mei W. Hwu
GNN
17
15
0
10 Nov 2021
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi
Fayao Liu
Xu Xun
Jie Lin
Chuan-Sheng Foo
19
54
0
09 Nov 2021
Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs
Zhao Xu
Youzhi Luo
Xuan Zhang
Xinyi Xu
Yaochen Xie
Meng Liu
Kaleb Dickerson
Cheng Deng
Maho Nakata
Shuiwang Ji
33
39
0
30 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,104
0
27 Apr 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Hongyu Ren
Maho Nakata
Yuxiao Dong
J. Leskovec
AI4CE
21
398
0
17 Mar 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
215
0
12 Feb 2021
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
100
127
0
11 Mar 2020
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
914
0
02 Mar 2020
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