Fetching the paper…
Reading the bibliography…
Graph neural networks are emerging as continuation of deep learning success w.r.t.
Fitting a geometric graph to a protein–protein interaction network
Desmond J Higham, Marija Rašajski, and Nataša Pržulj · 2008
Earlier work this paper cites.
Comprehensive characterization of cytochrome p450 isozyme selectivity across chemical libraries
Henrike Veith, Noel Southall, Ruili Huang, Tim James, Darren Fayne, Natalia Artemenko, Min Shen, James Inglese, Christopher P Austin, David G Lloyd, et al · 2009
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel · 2015
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2016
Earlier work this paper cites.
Diversity-oriented synthesis yields novel multistage antimalarial inhibitors
Nobutaka Kato, Eamon Comer, Tomoyo Sakata-Kato, Arvind Sharma, Manmohan Sharma, Micah Maetani, Jessica Bastien, Nicolas M Brancucci, Joshua A Bittker, Victoria Corey, et al · 2016
Earlier work this paper cites.
Inductive representation learning on large graphs
William L Hamilton, Rex Ying, and Jure Leskovec · 2017
Earlier work this paper cites.
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
Earlier work this paper cites.
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl · 2017
Cited alongside, same era.
How powerful are graph neural networks?
Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka · 2018
Cited alongside, same era.
Comparing and validating machine learning models for mycobacterium tuberculosis drug discovery
Thomas Lane, Daniel P Russo, Kimberley M Zorn, Alex M Clark, Alexandru Korotcov, Valery Tkachenko, Robert C Reynolds, Alexander L Perryman, Joel S Freundlich, and Sean Ekins · 2018
Cited alongside, same era.
Graph neural networks for social recommendation
Wenqi Fan, Yao Ma, Qing Li, Yuan He, Eric Zhao, Jiliang Tang, and Dawei Yin · 2019
Cited alongside, same era.
Strategies for pre-training graph neural networks
Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay Pande, and Jure Leskovec · 2019
Cited alongside, same era.
Optuna: A next-generation hyperparameter optimization framework
Takuya Akiba, Shotaro Sano, Toshihiko Yanase, Takeru Ohta, and Masanori Koyama · 2019
Later among the works it cites.
Deep Learning for the Life Sciences
Bharath Ramsundar, Peter Eastman, Patrick Walters, Vijay Pande, Karl Leswing, and Zhenqin Wu · 2019
Later among the works it cites.
A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and S Yu Philip · 2020
Later among the works it cites.
A semi-supervised graph attentive network for financial fraud detection
Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, and Yuan Qi · 2020
Later among the works it cites.
Relational graph neural network with hierarchical attention for knowledge graph completion
Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhiping Shi, Hui Xiong, and Qing He · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Graph u-nets
Hongyang Gao and Shuiwang Ji · 2019
Cited alongside, same era.
Lanczosnet: Multi-scale deep graph convolutional networks
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, and Richard S Zemel · 2019
Cited alongside, same era.
Therapeutics data commons: Machine learning datasets for therapeutics
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor Coley, Cao Xiao, Jimeng Sun, and Marinka Zitnik · 2020
Later among the works it cites.
Open graph benchmark: Datasets for machine learning on graphs
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec · 2020
Later among the works it cites.