research
∙
08/29/2023
PEM: Representing Binary Program Semantics for Similarity Analysis via a Probabilistic Execution Model
Binary similarity analysis determines if two binary executables are from...
share
research
∙
08/22/2023
A Simple Framework for Multi-mode Spatial-Temporal Data Modeling
Spatial-temporal data modeling aims to mine the underlying spatial relat...
research
∙
08/10/2023
Adaptive Taxonomy Learning and Historical Patterns Modelling for Patent Classification
Patent classification aims to assign multiple International Patent Class...
research
∙
07/31/2023
TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Encrypted traffic classification is receiving widespread attention from ...
research
∙
07/24/2023
An Empirical Evaluation of Temporal Graph Benchmark
In this paper, we conduct an empirical evaluation of Temporal Graph Benc...
research
∙
03/23/2023
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
We propose DyGFormer, a new Transformer-based architecture for dynamic g...
research
∙
01/29/2023
Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps
The privacy of personal information has received significant attention i...
research
∙
12/04/2022
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification
Privacy protection raises great attention on both legal levels and user ...
research
∙
05/31/2022
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Graph Neural Networks (GNNs) have been widely applied in the semi-superv...
research
∙
04/12/2022
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction
Given a sequence of sets, where each set is associated with a timestamp ...
research
∙
05/24/2021
Heterogeneous Graph Representation Learning with Relation Awareness
Representation learning on heterogeneous graphs aims to obtain meaningfu...
research
∙
12/29/2020
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Heterogeneous graphs are pervasive in practical scenarios, where each gr...
research
∙
08/26/2020
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network
Providing an accurate evaluation of palm tree plantation in a large regi...
research
∙
08/13/2020
An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps
The purpose of the General Data Protection Regulation (GDPR) is to provi...
research
∙
07/19/2020
STAN: Towards Describing Bytecodes of Smart Contract
More than eight million smart contracts have been deployed into Ethereum...
research
∙
06/20/2020
Predicting Temporal Sets with Deep Neural Networks
Given a sequence of sets, where each set contains an arbitrary number of...
research
∙
01/27/2019