Search Results for author: Shixuan Liu

Found 6 papers, 2 papers with code

Graph-attention-based Casual Discovery with Trust Region-navigated Clipping Policy Optimization

no code implementations27 Dec 2024 Shixuan Liu, Yanghe Feng, Keyu Wu, Guangquan Cheng, Jincai Huang, Zhong Liu

The two keys to the overall performance of the procedure are the robustness of RL methods and the efficient encoding of variables.

Causal Discovery Graph Attention +1

Map2Text: New Content Generation from Low-Dimensional Visualizations

no code implementations24 Dec 2024 Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Me

Low-dimensional visualizations, or "projection maps" of datasets, are widely used across scientific research and creative industries as effective tools for interpreting large-scale and complex information.

Navigate

$\texttt{dattri}$: A Library for Efficient Data Attribution

1 code implementation6 Oct 2024 Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma

Using the developed $\texttt{dattri}$ library, we are able to perform a comprehensive and fair benchmark analysis across a wide range of data attribution methods.

Benchmarking

The Expressive Power of Graph Neural Networks: A Survey

no code implementations16 Aug 2023 Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu

Graph neural networks (GNNs) are effective machine learning models for many graph-related applications.

Subgraph Counting Survey

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks

1 code implementation8 Jul 2023 Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu

Heterogeneous Information Networks (HINs) are information networks with multiple types of nodes and edges.

Relation

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