Summary of Multiple Heads Are Better Than One: Mixture Of Modality Knowledge Experts For Entity Representation Learning, by Yichi Zhang et al.
Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning
by Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
First submitted to arxiv on: 27 May 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Mixture of Modality Knowledge (MoMoK) framework addresses the challenge of learning high-quality multi-modal entity representations for multi-modal knowledge graph (MMKG) completion tasks. Existing methods focus on entity-wise fusion strategies, neglecting the utilization of multi-perspective features within modalities under diverse relational contexts. MoMoK introduces relation-guided modality knowledge experts to acquire relation-aware embeddings and integrates predictions from multiple modalities to achieve joint decisions. Additionally, it disentangles the experts by minimizing their mutual information. Experimental results on four public MMKG benchmarks demonstrate MoMoK’s outstanding performance under complex scenarios. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The researchers created a new way to learn entity representations in multi-modal knowledge graphs (MMKGs). They wanted to improve how well MMKGs can complete missing information based on what they already know. Their method, called MoMoK, uses multiple “experts” that focus on different relationships between entities and their modalities (like images or text). These experts work together to create a better representation of each entity. The researchers tested MoMoK on four datasets and found it performed well. |
Keywords
» Artificial intelligence » Knowledge graph » Multi modal
