GraphAIR: Graph Representation Learning with Neighborhood Aggregation
and Interaction

GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction

5 November 2019

Liang Wang

Papers citing "GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction"

6 / 6 papers shown

Title
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 46 141 0 11 Apr 2023
Line Graph Contrastive Learning for Link Prediction Zehua Zhang Shilin Sun Guixiang Ma Caiming Zhong 15 27 0 25 Oct 2022
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation Yujia Zheng Siyi Liu Zekun Li Shu Wu 20 37 0 21 Sep 2020
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation Feng Yu Yanqiao Zhu Qiang Liu Shu Wu Liang Wang T. Tan 8 222 0 06 May 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,945 0 09 Jun 2018
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