GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of
Graph Neural Networks

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks

22 November 2020

Huamin Qu

Papers citing "GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks"

7 / 7 papers shown

Title
Towards Better Modeling with Missing Data: A Contrastive Learning-based Visual Analytics Perspective Laixin Xie Ouyang Yang Long-fei Chen Ziming Wu Quan Li 23 0 0 18 Sep 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
How Does Attention Work in Vision Transformers? A Visual Analytics Attempt Yiran Li Junpeng Wang Xin Dai Liang Wang Chin-Chia Michael Yeh Yan Zheng Wei Zhang Kwan-Liu Ma ViT 20 23 0 24 Mar 2023
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset Zhihua Jin Xingbo Wang Furui Cheng Chunhui Sun Qun Liu Huamin Qu 32 9 0 17 Aug 2022
SPAGAN: Shortest Path Graph Attention Network Yiding Yang Xinchao Wang Xiuming Zhang Junsong Yuan Dacheng Tao GNN 148 96 0 10 Jan 2021
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016