Question answering over knowledge bases (KBs) aims to answer natural lan...
Extreme Multi-label Text Classification (XMTC) has been a tough challeng...
Pre-trained language models (PLMs) aim to learn universal language
repre...
Current Open-Domain Question Answering (ODQA) model paradigm often conta...
Different from traditional knowledge graphs (KGs) where facts are repres...
Knowledge graphs (KGs) contain rich information about world knowledge,
e...
Graph Convolutional Networks (GCNs) have received increasing attention i...
Change-point detection (CPD) aims at detecting the abrupt property chang...
Graph Convolutional Networks (GCNs) have received increasing attention i...
In this paper we present the first population-level, city-scale analysis...