https://deepai.org/publication/h-gcn-a-graph-convolutional-network-accelerator-on-versal-acap-architecture
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture | DeepAI
Jun 28, 2022 - 06/28/22 - Graph Neural Networks (GNNs) have drawn tremendous attention due to their unique capability to extend Machine Learning (ML) approa...
graph convolutional network
https://www.mdpi.com/1424-8220/21/24/8468
Cross-Attention Fusion Based Spatial-Temporal Multi-Graph Convolutional Network for Traffic Flow...
Accurate traffic flow prediction is essential to building a smart transportation city. Existing research mainly uses a given single-graph structure as a model,...
graph convolutional network
https://aclanthology.org/2020.findings-emnlp.416/
Multi-hop Question Generation with Graph Convolutional Network - ACL Anthology
Dan Su, Yan Xu, Wenliang Dai, Ziwei Ji, Tiezheng Yu, Pascale Fung. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020.
graph convolutional networkmultihopquestiongeneration
https://openreview.net/forum?id=Lwr8We4MIxn
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging...
We propose a novel end-to-end framework for whole-brain and whole-genome imaging-genetics. Our genetics network uses hierarchical graph convolution and pooling...
graph convolutional network
https://deepai.org/publication/ensemble-manifold-based-regularized-multi-modal-graph-convolutional-network-for-cognitive-ability-prediction
Ensemble manifold based regularized multi-modal graph convolutional network for cognitive ability...
Jan 20, 2021 - 01/20/21 - Objective: Multi-modal functional magnetic resonance imaging (fMRI) can be used to make predictions about individual behavioral an...
graph convolutional networkmulti modal
https://deepai.org/publication/i-gcn-a-graph-convolutional-network-accelerator-with-runtime-locality-enhancement-through-islandization
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through...
Mar 7, 2022 - 03/07/22 - Graph Convolutional Networks (GCNs) have drawn tremendous attention in the past three years. Compared with other deep learning mod...
graph convolutional network
https://openreview.net/forum?id=ud-iBiED9zb
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics...
We propose a multimodal graph convolutional network to integrate functional and structural connectivity to predict multidimensional phenotypic...
graph convolutional network
https://openreview.net/forum?id=X6kkUSFy3za&referrer=%5Bthe%20profile%20of%20Chunnan%20Wang%5D(%2Fprofile%3Fid%3D~Chunnan_Wang2)
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search | OpenReview
graph convolutional networkautospatialtemporalsearch