GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering

23 March 2023

Papers citing "GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering"

7 / 7 papers shown

Title
SPARKLE: Enhancing SPARQL Generation with Direct KG Integration in Decoding Jaebok Lee Hyeonjeong Shin 17 0 0 29 Jun 2024
Leveraging LLMs in Scholarly Knowledge Graph Question Answering Tilahun Abedissa Taffa Ricardo Usbeck RALM 16 12 0 16 Nov 2023
UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs Yide Qiu Shaoxiang Ling Tong Zhang Bo Huang Zhen Cui 31 0 0 11 Sep 2023
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph Jiashuo Sun Chengjin Xu Lumingyuan Tang Sai Wang Chen Lin Yeyun Gong Lionel M. Ni H. Shum Jian Guo LRM 16 59 0 15 Jul 2023
Complex Temporal Question Answering on Knowledge Graphs Zhen Jia Soumajit Pramanik Rishiraj Saha Roy G. Weikum 216 103 0 18 Sep 2021
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering Barlas Oğuz Xilun Chen Vladimir Karpukhin Stanislav Peshterliev Dmytro Okhonko M. Schlichtkrull Sonal Gupta Yashar Mehdad Scott Yih 195 87 0 29 Dec 2020
K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Qi Ju Haotang Deng Ping Wang 220 773 0 17 Sep 2019