Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction

18 February 2022

Papers citing "Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction"

8 / 8 papers shown

Title
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis Chrysoula Kosma Giannis Nikolentzos Michalis Chatzianastasis Iakovos Evdaimon Michalis Vazirgiannis 28 1 0 16 Sep 2024
Establishing Deep InfoMax as an effective self-supervised learning methodology in materials informatics Michael Moran Vladimir V. Gusev M. Gaultois Dmytro Antypov M. Rosseinsky AI4CE 25 0 0 30 Jun 2024
$ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning$ ROG $_{PL}$ : Robust Open-Set Graph Learning via Region-Based Prototype Learning Qin Zhang Xiaowei Li Jiexin Lu Liping Qiu Shirui Pan Xiaojun Chen Junyang Chen 37 1 0 28 Feb 2024
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 12 2 0 19 Dec 2023
AI-accelerated Discovery of Altermagnetic Materials Ze-Feng Gao Shuai Qu Bocheng Zeng Y. Liu Ji-Rong Wen Hao-Lun Sun Peng-Jie Guo Zhong-Yi Lu 18 7 0 08 Nov 2023
GraphMAE: Self-Supervised Masked Graph Autoencoders Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang C. Wang Jie Tang SSL 17 537 0 22 May 2022
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 167 1,058 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 142 828 0 28 Sep 2019