research
∙
05/31/2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Heterogeneous Graph Neural Networks (HGNNs) have gained significant popu...
share
research
∙
02/21/2023
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Node classification is a substantial problem in graph-based fraud detect...
research
∙
01/28/2023
Layout-aware Webpage Quality Assessment
Identifying high-quality webpages is fundamental for real-world search e...
research
∙
11/27/2022
Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods
With the popularity of cryptocurrencies and the remarkable development o...
research
∙
11/26/2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks
Bitcoin is one of the decentralized cryptocurrencies powered by a peer-t...
research
∙
10/12/2022
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Recent years have witnessed the rise and success of pre-training techniq...
research
∙
10/09/2022
Text detection and recognition based on a lensless imaging system
Lensless cameras are characterized by several advantages (e.g., miniatur...
research
∙
09/18/2022
ERNIE-mmLayout: Multi-grained MultiModal Transformer for Document Understanding
Recent efforts of multimodal Transformers have improved Visually Rich Do...
research
∙
08/15/2022
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Estimated time of arrival (ETA) prediction, also known as travel time es...
research
∙
05/18/2022
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval
Neural retrievers based on pre-trained language models (PLMs), such as d...
research
∙
05/13/2022
Simple and Effective Relation-based Embedding Propagation for Knowledge Representation Learning
Relational graph neural networks have garnered particular attention to e...
research
∙
03/17/2022
POLARIS: A Geographic Pre-trained Model and its Applications in Baidu Maps
Pre-trained models (PTMs) have become a fundamental backbone for downstr...
research
∙
12/02/2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems
In recent years, owing to the outstanding performance in graph represent...
research
∙
07/05/2021
NOTE: Solution for KDD-CUP 2021 WikiKG90M-LSC
WikiKG90M in KDD Cup 2021 is a large encyclopedic knowledge graph, which...
research
∙
06/28/2021
LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction
In this report, we (SuperHelix team) present our solution to KDD Cup 202...
research
∙
09/08/2020
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
This paper describes the system designed by ERNIE Team which achieved th...
research
∙
09/08/2020
kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
Code switching is a linguistic phenomenon that may occur within a multil...
research
∙
09/08/2020
Masked Label Prediction: Unified Massage Passing Model for Semi-Supervised Classification
Graph convolutional network (GCN) and label propagation algorithms (LPA)...
research
∙
11/07/2016
