5 papers
An Evolution Kernel Method for Graph Classification through Heat Diffusion Dynamics
Xue Liu, Dan Sun, Wei Wei +1
Autonomous individuals establish a structural complex system through pairwise connections and interactions. Notably, the evolution reflects the dynamic nature of each complex syste…
Anonymous Pattern Molecular Fingerprint and its Applications on Property Identification
Xue Liu, Qian Cheng, Dan Sun +3
Molecular fingerprints are significant cheminformatics tools to map molecules into vectorial space according to their characteristics in diverse functional groups, atom sequences,…
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies
Xue Liu, Dan Sun, Xiaobo Cao +2
Graph embedding provides a feasible methodology to conduct pattern classification for graph-structured data by mapping each data into the vectorial space. Various pioneering works…
A Graph Data Augmentation Strategy with Entropy Preservation
Xue Liu, Dan Sun, Wei Wei
The Graph Convolutional Networks (GCN) proposed by Kipf and Welling is an effective model for semi-supervised learning, but faces the obstacle of over-smoothing, which will weaken…
Graph Classification Based on Skeleton and Component Features
Xue Liu, Wei Wei, Xiangnan Feng +2
Most existing popular methods for learning graph embedding only consider fixed-order global structural features and lack structures hierarchical representation. To address this wea…