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Graph Star Net for Generalized Multi-Task Learning

Graph Star Net for Generalized Multi-Task Learning

21 June 2019
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
    GNN
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Papers citing "Graph Star Net for Generalized Multi-Task Learning"

11 / 11 papers shown
Title
Graph Decipher: A transparent dual-attention graph neural network to
  understand the message-passing mechanism for the node classification
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classification
Yan Pang
Chao Liu
GNN
24
8
0
04 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for
  Graph Neural Network
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
27
3
0
30 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks
Structure-Aware Label Smoothing for Graph Neural Networks
Yiwei Wang
Yujun Cai
Yuxuan Liang
Wei Wang
Henghui Ding
Muhao Chen
Jing Tang
Bryan Hooi
26
3
0
01 Dec 2021
KELM: Knowledge Enhanced Pre-Trained Language Representations with
  Message Passing on Hierarchical Relational Graphs
KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs
Yinquan Lu
H. Lu
Guirong Fu
Qun Liu
KELM
18
34
0
09 Sep 2021
NENET: An Edge Learnable Network for Link Prediction in Scene Text
NENET: An Edge Learnable Network for Link Prediction in Scene Text
M. Singh
Sayan Banerjee
S. Chaudhuri
16
1
0
25 May 2020
Ripple Walk Training: A Subgraph-based training framework for Large and
  Deep Graph Neural Network
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
GNN
19
29
0
17 Feb 2020
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph
  Classification using CNNs
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs
Yecheng Lyu
Xinming Huang
Ziming Zhang
21
0
0
26 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method
GraphSAINT: Graph Sampling Based Inductive Learning Method
Hanqing Zeng
Hongkuan Zhou
Ajitesh Srivastava
R. Kannan
Viktor Prasanna
GNN
57
948
0
10 Jul 2019
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
267
1,944
0
09 Jun 2018
Contextual Explanation Networks
Contextual Explanation Networks
Maruan Al-Shedivat
Kumar Avinava Dubey
Eric P. Xing
CML
24
82
0
29 May 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs
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
1