14 citations · 44 across the 10 of their papers we have counts for
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cs.LG2023★ 2 cited
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Qian Jiang, Changyou Chen, Han Zhao +6
Contrastive loss has been increasingly used in learning representations from multiple modalities. In the limit, the nature of the contrastive loss encourages modalities to exactly…
cs.LG2022★ 2 cited
Efficient and effective training of language and graph neural network models
Vassilis N. Ioannidis, Xiang Song, Da Zheng +6
Can we combine heterogenous graph structure with text to learn high-quality semantic and behavioural representations? Graph neural networks (GNN)s encode numerical node attributes…