research
∙
10/12/2021
Deviance Matrix Factorization
We investigate a general matrix factorization for deviance-based losses,...
share
research
∙
06/18/2021
Anomaly Detection in Dynamic Graphs via Transformer
Detecting anomalies for dynamic graphs has drawn increasing attention du...
research
∙
04/15/2021
Dynamic Graph Neural Networks for Sequential Recommendation
Modeling users' preference from his historical sequences is one of the c...
research
∙
03/04/2021
Deep Graph Structure Learning for Robust Representations: A Survey
Graph Neural Networks (GNNs) are widely used for analyzing graph-structu...
research
∙
01/20/2021
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
In object detection, bounding box regression (BBR) is a crucial step tha...
research
∙
01/11/2021
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction
Click-through rate (CTR) prediction, which aims to predict the probabili...
research
∙
11/05/2020
Merchant Category Identification Using Credit Card Transactions
Digital payment volume has proliferated in recent years with the rapid g...
research
∙
09/24/2020
Ape210K: A Large-Scale and Template-Rich Dataset of Math Word Problems
Automatic math word problem solving has attracted growing attention in r...
research
∙
04/22/2020
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks
Text classification is fundamental in natural language processing (NLP),...
research
∙
12/19/2018
Hierarchical Macro Strategy Model for MOBA Game AI
The next challenge of game AI lies in Real Time Strategy (RTS) games. RT...
research
∙
05/07/2018
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning
Skeleton-based action recognition has made great progress recently, but ...
research
∙
03/20/2018
