R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning

22 April 2020

Papers citing "R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning"

6 / 6 papers shown

Title
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education Rui Yang Boming Yang Sixun Ouyang Tianwei She Aosong Feng Yuang Jiang Freddy Lecue Jinghui Lu Irene Li AI4Ed 76 5 0 22 Feb 2024
Filling in the Gaps: Efficient Event Coreference Resolution using Graph Autoencoder Networks Loic De Langhe Orphée De Clercq Véronique Hoste 60 2 0 18 Oct 2023
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts Irene Li Keen You Yujie Qiao Lucas Huang Chia-Chun Hsieh Benjamin Rosand Xiangru Tang Dragomir R. Radev 101 4 0 13 Apr 2022
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders Irene Li Vanessa Yan Tianxiao Li Rihao Qu Dragomir R. Radev SSL 61 18 0 07 May 2021
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification Irene Li Aosong Feng Hao Wu Tianxiao Li Toyotaro Suzumura Ruihai Dong 61 10 0 26 Mar 2021
Conditional Link Prediction of Category-Implicit Keypoint Detection Ellen Yi-Ge Rui Fan Zechun Liu Zhiqiang Shen 24 0 0 29 Nov 2020