1 code implementation • 16 Dec 2021 • Thilini Cooray, Ngai-Man Cheung
Hence, this work proposes a new principle for unsupervised graph representation learning: Graph-wise Common latent Factor EXtraction (GCFX).
no code implementations • 1 Jan 2021 • Thilini Cooray, Ngai-Man Cheung, Wei Lu
Our work is the first to study disentanglement learning for graph-level representations.
1 code implementation • CVPR 2020 • Thilini Cooray, Ngai-Man Cheung, Wei Lu
However, existing query-based reasoning methods have not considered handling of inter-dependent queries which is a unique requirement of semantic role prediction in SR.
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