4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Ensemble Multi-Relational Graph Neural Networks
Yuling Wang, Hao Xu, Yanhua Yu +4
It is well established that graph neural networks (GNNs) can be interpreted and designed from the perspective of optimization objective. With this clear optimization objective, the…
cs.DC2022
Searching for Efficient Neural Architectures for On-Device ML on Edge TPUs
Berkin Akin, Suyog Gupta, Yun Long +6
On-device ML accelerators are becoming a standard in modern mobile system-on-chips (SoC). Neural architecture search (NAS) comes to the rescue for efficiently utilizing the high co…
cs.LG2020★ 4 cited
Every Corporation Owns Its Structure: Corporate Credit Ratings via Graph Neural Networks
Bojing Feng, Haonan Xu, Wenfang Xue +1
Credit rating is an analysis of the credit risks associated with a corporation, which reflects the level of the riskiness and reliability in investing, and plays a vital role in fi…