Graph Component Contrastive Learning for Concept Relatedness Estimation

Graph Component Contrastive Learning for Concept Relatedness Estimation

25 June 2022

Irwin King

Papers citing "Graph Component Contrastive Learning for Concept Relatedness Estimation"

8 / 8 papers shown

Title
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder Yueen Ma Dafeng Chi Jingjing Li Kai Song Yuzheng Zhuang Irwin King DRL 12 0 0 03 Jul 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 28 3 0 16 May 2023
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks Xinyu Fu Irwin King 19 15 0 23 Nov 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 70 178 0 23 May 2022
A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model Xin Sun Tao Ge Shuming Ma Jingjing Li Furu Wei Houfeng Wang SyDa 32 26 0 26 Jan 2022
Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction Xuming Hu Chenwei Zhang Yawen Yang Xiaohe Li Li Lin Lijie Wen Philip S. Yu 51 59 0 14 Sep 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 79 190 0 26 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020