research
∙
12/30/2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Graph neural network (GNN) has shown convincing performance in learning ...
share
research
∙
01/14/2021
Label Contrastive Coding based Graph Neural Network for Graph Classification
Graph classification is a critical research problem in many applications...
research
∙
02/17/2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Graph neural networks (GNNs) have achieved outstanding performance in le...
research
∙
07/26/2019
BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization
Among various optimization algorithms, ADAM can achieve outstanding perf...
research
∙
07/25/2019
