9 citations · 25 across the 5 of their papers we have counts for
5 papers
Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method
Shangsheng Xie, Mingming Lu
To solve the problem that convolutional neural networks (CNNs) are difficult to process non-grid type relational data like graphs, Kipf et al. proposed a graph convolutional neural…
Graph Hierarchical Convolutional Recurrent Neural Network (GHCRNN) for Vehicle Condition Prediction
Mingming Lu, Kunfang Zhang, Haiying Liu +1
The prediction of urban vehicle flow and speed can greatly facilitate people's travel, and also can provide reasonable advice for the decision-making of relevant government departm…
Program Classification Using Gated Graph Attention Neural Network for Online Programming Service
Mingming Lu, Dingwu Tan, Naixue Xiong +2
The online programing services, such as Github,TopCoder, and EduCoder, have promoted a lot of social interactions among the service users. However, the existing social interactions…
Based on Graph-VAE Model to Predict Student's Score
Yang Zhang, Mingming Lu
The OECD pointed out that the best way to keep students up to school is to intervene as early as possible [1]. Using education big data and deep learning to predict student's score…
LIPS: A Light Intensity Based Positioning System For Indoor Environments
Bo Xie, Guang Tan, Yunhuai Liu +3
This paper presents LIPS, a Light Intensity based Positioning System for indoor environments. The system uses off-the-shelf LED lamps as signal sources, and uses light sensors as s…