Graph Active Learning (GAL), which aims to find the most informative nod...
Text design is one of the most critical procedures in poster design, as ...
Advertising posters, a form of information presentation, combine visual ...
The non-Euclidean geometry of hyperbolic spaces has recently garnered
co...
Extremely skewed label distributions are common in real-world node
class...
The global trends of urbanization and increased personal mobility force ...
The application of deep learning techniques in software engineering beco...
Hyperbolic space is emerging as a promising learning space for represent...
Recent studies show that Graph Neural Networks(GNNs) are vulnerable and
...
Learning an explainable classifier often results in low accuracy model o...
Graph-structured data are widespread in real-world applications, such as...
In this technical report, we present our solutions to the Traffic4cast 2...
Layout generation is a novel task in computer vision, which combines the...
Spatiotemporal forecasting is an imperative topic in data science due to...
Considering the prevalence of the power-law distribution in user-item
ne...
Factorization machines (FMs) are widely used in recommender systems due ...
Deep learning approaches for the Alternating Current-Optimal Power Flow
...
Graphs are a popular data type found in many domains. Numerous technique...
In large-scale recommender systems, the user-item networks are generally...
Given the ubiquitous existence of graph-structured data, learning the
re...
Link prediction is a key problem for network-structured data, attracting...
Graph neural networks generalize conventional neural networks to
graph-s...
Recently, hyperbolic space has risen as a promising alternative for
semi...
The objective of image outpainting is to extend image current border and...
Representation learning over temporal networks has drawn considerable
at...
Scalability of graph neural networks remains one of the major challenges...
Alarm root cause analysis is a significant component in the day-to-day
t...
Telecommunication networks play a critical role in modern society. With ...
Feature matters for salient object detection. Existing methods mainly fo...
Detecting interaction effects is a crucial step in various applications....