ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis

1 code implementation • 21 Apr 2024 • Zichen Tang, Hongyu Yang

In this framework, we utilize an expressive generator to synthesize stylized faces and a triple-branch discriminator module to improve the visual quality and style consistency of the generated faces.

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

1 code implementation • 13 Oct 2023 • Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin

Knowledge Base Question Answering (KBQA) aims to derive answers to natural language questions over large-scale knowledge bases (KBs), which are generally divided into two research components: knowledge retrieval and semantic parsing.

Knowledge Base Question Answering Knowledge Graphs +2

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction

1 code implementation • 8 Oct 2023 • Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Kaiyang Wan, Shiyao Peng, Meina Song, Wei Lin

To address these restrictions, we propose Text2NKG, a novel fine-grained n-ary relation extraction framework for n-ary relational knowledge graph construction.

Event-based N-ary Relaiton Extraction Hypergraph-based N-ary Relaiton Extraction +3

HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level

1 code implementation • ACL 2023 • Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song, Wei Lin

The global-level attention can model the graphical structure of HKG using hypergraph dual-attention layers, while the local-level attention can learn the sequential structure inside H-Facts via heterogeneous self-attention layers.

Attribute Knowledge Graphs +1

NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs

1 code implementation • AAAI 2023 • Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan

Complex query answering (CQA) is an essential task for multi-hop and logical reasoning on knowledge graphs (KGs).

Complex Query Answering Logical Reasoning +1