CopulaGNN: Towards Integrating Representational and Correlational Roles
of Graphs in Graph Neural Networks

CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks

5 October 2020

Jiaqi Ma

Papers citing "CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks"

5 / 5 papers shown

Title
Inference and Sampling for Archimax Copulas Yuting Ng Ali Hasan Vahid Tarokh 26 5 0 27 May 2022
Neural Structured Prediction for Inductive Node Classification Meng Qu Huiyu Cai Jian Tang BDL GNN 13 18 0 15 Apr 2022
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning Zixu Zhao Yueming Jin Pheng-Ann Heng SSL 37 21 0 28 Sep 2021
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 49 128 0 24 Jun 2021
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019