Robuta

https://repositum.tuwien.at/handle/20.500.12708/113065 reposiTUm: Sparse graph attention networks as efficient ionic liquid potentials graph attention networkssparseefficientionicliquid https://liner.com/review/attention-guided-graph-convolutional-networks-for-relation-extraction Attention Guided Graph Convolutional Networks for Relation Extraction [Quick Review] Regarding this ACL 2019 paper, this review summarizes AGGCNs for relation extraction, leveraging full dependency trees and soft pruning. relation extractionattentionguidedgraphnetworks