Artikel mit Open-Access-Mandaten - Weihua HuWeitere Informationen
Verfügbar: 10
Open Graph Benchmark: Datasets for Machine Learning on Graphs
W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec
Advances in Neural Information Processing Systems, 2020
Mandate: US National Science Foundation, US Department of Defense, Deutsche …
Co-teaching: robust training deep neural networks with extremely noisy labels
B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, I Tsang, M Sugiyama
Advances in Neural Information Processing Systems, 2018
Mandate: Research Foundation (Flanders), National Natural Science Foundation of China
Wilds: A benchmark of in-the-wild distribution shifts
PW Koh, S Sagawa, H Marklund, SM Xie, M Zhang, A Balsubramani, ...
International conference on machine learning, 5637-5664, 2021
Mandate: US National Science Foundation, US Department of Defense, Marcus and Amalia …
Open catalyst 2020 (OC20) dataset and community challenges
L Chanussot, A Das, S Goyal, T Lavril, M Shuaibi, M Riviere, K Tran, ...
Acs Catalysis 11 (10), 6059-6072, 2021
Mandate: US Department of Energy
Extending the wilds benchmark for unsupervised adaptation
S Sagawa, PW Koh, T Lee, I Gao, SM Xie, K Shen, A Kumar, W Hu, ...
International Conference on Learning Representations, 2021
Mandate: US National Science Foundation, US Department of Defense, Marcus and Amalia …
Temporal graph benchmark for machine learning on temporal graphs
S Huang, F Poursafaei, J Danovitch, M Fey, W Hu, E Rossi, J Leskovec, ...
Advances in Neural Information Processing Systems 36, 2056-2073, 2023
Mandate: Natural Sciences and Engineering Research Council of Canada, European …
Forcenet: A graph neural network for large-scale quantum calculations
W Hu, M Shuaibi, A Das, S Goyal, A Sriram, J Leskovec, D Parikh, ...
arXiv preprint arXiv:2103.01436, 2021
Mandate: US National Science Foundation, US Department of Defense, Chan Zuckerberg …
Relational deep learning: Graph representation learning on relational databases
M Fey, W Hu, K Huang, JE Lenssen, R Ranjan, J Robinson, R Ying, J You, ...
arXiv preprint arXiv:2312.04615, 2023
Mandate: US National Science Foundation, US Department of Defense
Learning Backward Compatible Embeddings
W Hu, R Bansal, K Cao, N Rao, K Subbian, J Leskovec
ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
Mandate: US National Science Foundation, US Department of Defense
Tuneup: A training strategy for improving generalization of graph neural networks
W Hu, K Cao, K Huang, EW Huang, K Subbian, J Leskovec
Mandate: US National Science Foundation, US Department of Defense
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