Heterogeneous Graph Neural Networks (HGNNs) have gained significant
popu...
Node classification is a substantial problem in graph-based fraud detect...
Identifying high-quality webpages is fundamental for real-world search
e...
With the popularity of cryptocurrencies and the remarkable development o...
Bitcoin is one of the decentralized cryptocurrencies powered by a
peer-t...
Recent years have witnessed the rise and success of pre-training techniq...
Lensless cameras are characterized by several advantages (e.g.,
miniatur...
Recent efforts of multimodal Transformers have improved Visually Rich
Do...
Estimated time of arrival (ETA) prediction, also known as travel time
es...
Neural retrievers based on pre-trained language models (PLMs), such as
d...
Relational graph neural networks have garnered particular attention to e...
Pre-trained models (PTMs) have become a fundamental backbone for downstr...
In recent years, owing to the outstanding performance in graph represent...
WikiKG90M in KDD Cup 2021 is a large encyclopedic knowledge graph, which...
In this report, we (SuperHelix team) present our solution to KDD Cup
202...
This paper describes the system designed by ERNIE Team which achieved th...
Code switching is a linguistic phenomenon that may occur within a
multil...
Graph convolutional network (GCN) and label propagation algorithms (LPA)...
OCR character segmentation for multilingual printed documents is difficu...