2 papers
cs.LG2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation
Bo Jiang, Sheng Ge, Ziyan Zhang +3
Graph Convolutional Networks (GCNs) have been widely studied. The core of GCNs is the definition of convolution operators on graphs. However, existing Graph Convolution (GC) operat…
cs.RO2023
Jigsaw-based Benchmarking for Learning Robotic Manipulation
Xiaobo Liu, Fang Wan, Sheng Ge +3
Benchmarking provides experimental evidence of the scientific baseline to enhance the progression of fundamental research, which is also applicable to robotics. In this paper, we p…