A Hierarchy of Graph Neural Networks Based on Learnable Local Features

13 November 2019

Papers citing "A Hierarchy of Graph Neural Networks Based on Learnable Local Features"

5 / 5 papers shown

Title
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing Jiawei Zhou Tahira Naseem Ramón Fernández Astudillo Young-Suk Lee Radu Florian Salim Roukos 38 43 0 29 Oct 2021
Graph Neural Networks with Local Graph Parameters Pablo Barceló Floris Geerts Juan L. Reutter Maksimilian Ryschkov 24 65 0 12 Jun 2021
AMR Parsing with Action-Pointer Transformer Jiawei Zhou Tahira Naseem Ramón Fernández Astudillo Radu Florian 46 44 0 29 Apr 2021
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 58 424 0 16 Jun 2020
MoleculeNet: A Benchmark for Molecular Machine Learning Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes C. Geniesse Aneesh S. Pappu K. Leswing Vijay S. Pande OOD 199 1,778 0 02 Mar 2017