Papers with graph neural network architectures

2 papers
Graph-based Multilingual Product Retrieval in E-Commerce Search (2021.naacl-industry)

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Challenge: Modern e-commerce search systems require product retrieval under multilingual scenarios.
Approach: They propose a universal multilingual retrieval system that captures interactions between search queries and items in e-commerce search.
Outcome: The proposed system outperforms state-of-the-art retrieval models on five countries and has been deployed in production for multiple countries.
Complexity-Guided Curriculum Learning for Text Graphs (2023.findings-emnlp)

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Challenge: Curriculum learning is a systematic approach to training that refines training progressively and tailors training to task requirements.
Approach: They propose a curriculum learning approach that employs "spaced repetition" and complexity formalisms to guide the training process.
Outcome: The proposed model gains more and uses less data, and the best curricula are equally effective.

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