Search Results for author: Ziqi Yin

Found 6 papers, 3 papers with code

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries

no code implementations12 Mar 2024 Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui

With the proliferation of spatio-textual data, Top-k KNN spatial keyword queries (TkQs), which return a list of objects based on a ranking function that evaluates both spatial and textual relevance, have found many real-life applications.

Pseudo Label

Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance

no code implementations22 Feb 2024 Ziqi Yin, Hao Wang, Kaito Horio, Daisuke Kawahara, Satoshi Sekine

We investigate the impact of politeness levels in prompts on the performance of large language models (LLMs).

Model Degradation Hinders Deep Graph Neural Networks

1 code implementation9 Jun 2022 Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui

Graph Neural Networks (GNNs) have achieved great success in various graph mining tasks. However, drastic performance degradation is always observed when a GNN is stacked with many layers.

Attribute Graph Mining

GRAND+: Scalable Graph Random Neural Networks

1 code implementation12 Mar 2022 Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang

In this work, we present a scalable and high-performance GNN framework GRAND+ for semi-supervised graph learning.

Data Augmentation Graph Learning +2

Graph Attention MLP with Reliable Label Utilization

no code implementations23 Aug 2021 Wentao Zhang, Ziqi Yin, Zeang Sheng, Wen Ouyang, Xiaosen Li, Yangyu Tao, Zhi Yang, Bin Cui

Graph neural networks (GNNs) have recently achieved state-of-the-art performance in many graph-based applications.

Graph Attention

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