Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks

31 October 2022

Papers citing "Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks"

7 / 7 papers shown

Title
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs Tiehua Zhang Yuze Liu Zhishu Shen Xingjun Ma Xin Chen Xiaowei Huang Jun-Jian Yin 96 7 0 31 Dec 2024
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 58 10 0 07 Jun 2022
GPS: A Policy-driven Sampling Approach for Graph Representation Learning Tiehua Zhang Yuze Liu Xin Chen Xiaowei Huang Feng Zhu Xi Zheng 31 6 0 29 Dec 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 66 298 0 30 Nov 2020
An Attention-based Graph Neural Network for Heterogeneous Structural Learning Huiting Hong Hantao Guo Yucheng Lin Xiaoqing Yang Zang Li Jieping Ye 41 213 0 19 Dec 2019
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 172 4,772 0 17 Mar 2017
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 413 27,205 0 01 Sep 2014