Robuta

https://research.buaa.edu.cn/en/publications/modeling-text-with-graph-convolutional-network-for-cross-modal-in/ Modeling text with graph convolutional network for cross-modal information retrieval - Beihang... graph convolutional network information retrieval modeling text cross https://research.mpu.edu.mo/en/publications/dynamic-spatiotemporal-graph-convolutional-network-collaborative-/ Dynamic spatiotemporal graph convolutional network collaborative pre-training learning for traffic... graph convolutional network dynamic spatiotemporal collaborative pre https://arrc.kaist.ac.kr/ko/publications/temporally-enhanced-graph-convolutional-network-for-hand-tracking-from-an Temporally enhanced graph convolutional network for hand tracking from an egocentric camera | ARRC We propose a robust 3D hand tracking system in various hand action environments, including hand-object interaction, which utilizes a single color image and a... graph convolutional network hand tracking temporally enhanced egocentric https://jinming.tech/papers/2021-aaai-power-up-robust-gcn-graph-powering.html Power Up! Robust Graph Convolutional Network via Graph Powering – Ming Jin We enhance adversarial robustness of GCNs by moving beyond spectral graph theory to robust graph theory. We introduce a novel convolution operator that is... graph convolutional network power up robust via powering https://eprints.umpo.ac.id/20139/ DETEKSI DEFISIENSI NUTRISI DAUN CENGKEH DENGAN GRAPH CONVOLUTIONAL NETWORK (GCN) PADA REPRESENTASI... graph convolutional network defisiensi nutrisi deteksi daun dengan https://www.emergentmind.com/papers/2106.01583 Cross-Network Learning with Partially Aligned Graph Convolutional Networks Graph neural networks have been widely used for learning representations of nodes for many downstream tasks on graph data. Existing models were designed for... cross network learning partially aligned