Knowledge Soft Integration for Multimodal Recommendation

no code implementations • 12 May 2023 • Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang

To address this issue, we propose using knowledge soft integration to balance the utilization of multimodal features and the curse of knowledge problem it brings about.

Multimodal Recommendation Retrieval

Investigating Graph Structure Information for Entity Alignment with Dangling Cases

no code implementations • 10 Apr 2023 • Jin Xu, Yangning Li, Xiangjin Xie, Yinghui Li, Niu Hu, Haitao Zheng, Yong Jiang

To improve the exploitation of the structural information, we propose a novel entity alignment framework called Weakly-Optimal Graph Contrastive Learning (WOGCL), which is refined on three dimensions : (i) Model.

Contrastive Learning Entity Alignment +3

Global Mixup: Eliminating Ambiguity with Clustering

no code implementations • 6 Jun 2022 • Xiangjin Xie, Yangning Li, Wang Chen, Kai Ouyang, Li Jiang, Haitao Zheng

(2) linear combination significantly limits the sampling space for generating samples.

Clustering Data Augmentation