8 citations · 52 across the 32 of their papers we have counts for
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Privacy-Preserved Neural Graph Databases
Qi Hu, Haoran Li, Jiaxin Bai +2
In the era of large language models (LLMs), efficient and accurate data retrieval has become increasingly crucial for the use of domain-specific or private data in the retrieval au…
On the Discussion of Large Language Models: Symmetry of Agents and Interplay with Prompts
Qineng Wang, Zihao Wang, Ying Su +1
Two ways has been discussed to unlock the reasoning capability of a large language model. The first one is prompt engineering and the second one is to combine the multiple inferenc…
Towards out-of-distribution generalizable predictions of chemical kinetics properties
Zihao Wang, Yongqiang Chen, Yang Duan +4
Machine Learning (ML) techniques have found applications in estimating chemical kinetic properties. With the accumulated drug molecules identified through "AI4drug discovery", the…
Distributed Matrix Multiplication with a Smaller Recovery Threshold through Modulo-based Approaches
Zhiquan Tan, Dingli Yuan, Zihao Wang +1
This paper considers the problem of calculating the matrix multiplication of two massive matrices and distributedly. We provide a modulo technique that ca…
-CQA: Towards Knowledge Graph Complex Query Answering beyond Set Operation
Hang Yin, Zihao Wang, Weizhi Fei +1
To answer complex queries on knowledge graphs, logical reasoning over incomplete knowledge is required due to the open-world assumption. Learning-based methods are essential becaus…
Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport
Zihao Wang, Weizhi Fei, Hang Yin +3
Answering complex queries on knowledge graphs is important but particularly challenging because of the data incompleteness. Query embedding methods address this issue by learning-b…