Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs

1 December 2018

Papers citing "Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs"

7 / 7 papers shown

Title
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park Hajin Shim Eunho Yang 79 49 0 10 Nov 2021
Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers Debanjan Chaudhuri Md. Rony Jens Lehmann 27 12 0 30 Mar 2021
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation Eda Bayram Alberto García-Durán Robert West 34 13 0 10 Nov 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 36 214 0 01 Oct 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution Sankalp Garg Navodita Sharma Woojeong Jin Xiang Ren AI4TS 32 8 0 09 Mar 2020
Knowledge-based Biomedical Data Science 2019 Tiffany J. Callahan Harrison Pielke-Lombardo Ignacio J. Tripodi Lawrence E. Hunter AI4CE 21 36 0 08 Oct 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 37 1,291 0 10 Mar 2019