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How Powerful are Graph Neural Networks?
- Keyulu Xu, Weihua Hu, J. Leskovec, S. Jegelka
- Computer ScienceICLR
- 1 October 2018
TLDR
Co-teaching: Robust training of deep neural networks with extremely noisy labels
- Bo Han, Quanming Yao, Masashi Sugiyama
- Computer ScienceNeurIPS
- 18 April 2018
TLDR
Open Graph Benchmark: Datasets for Machine Learning on Graphs
- Weihua Hu, Matthias Fey, J. Leskovec
- Computer ScienceNeurIPS
- 2 May 2020
TLDR
Strategies for Pre-training Graph Neural Networks
- Weihua Hu, Bowen Liu, J. Leskovec
- Computer ScienceICLR
- 29 May 2019
TLDR
Learning Discrete Representations via Information Maximizing Self-Augmented Training
- Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
- Computer ScienceICML
- 28 February 2017
TLDR
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
- Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, J. Leskovec
- Computer ScienceNeurIPS Datasets and Benchmarks
- 17 March 2021
TLDR
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
- Hongyu Ren, Weihua Hu, J. Leskovec
- Computer ScienceICLR
- 14 February 2020
Answering complex logical queries on large-scale incomplete knowledge graphs (KGs) is a fundamental yet challenging task. Recently, a promising approach to this problem has been to embed KG entities…
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
- Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama
- Computer ScienceICML
- 7 November 2016
TLDR
Learning from Complementary Labels
- Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama
- Computer ScienceNIPS
- 22 May 2017
TLDR
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
- L. Chanussot, Abhishek Das, Zachary W. Ulissi
- Environmental ScienceProceedings of the International Conference on…
- 20 October 2020
TLDR
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