ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.06272
  4. Cited By
Graph Partition Neural Networks for Semi-Supervised Classification

Graph Partition Neural Networks for Semi-Supervised Classification

16 March 2018
Renjie Liao
Marc Brockschmidt
Daniel Tarlow
Alexander L. Gaunt
R. Urtasun
R. Zemel
    GNN
ArXivPDFHTML

Papers citing "Graph Partition Neural Networks for Semi-Supervised Classification"

15 / 15 papers shown
Title
Partitioned Neural Network Training via Synthetic Intermediate Labels
Partitioned Neural Network Training via Synthetic Intermediate Labels
C. V. Karadag
Nezih Topaloglu
29
0
0
17 Mar 2024
PaSca: a Graph Neural Architecture Search System under the Scalable
  Paradigm
PaSca: a Graph Neural Architecture Search System under the Scalable Paradigm
Wentao Zhang
Yu Shen
Zheyu Lin
Yang Li
Xiaosen Li
Wenbin Ouyang
Yangyu Tao
Zhi-Xin Yang
Bin Cui
GNN
27
59
0
01 Mar 2022
Multiscale Laplacian Learning
Multiscale Laplacian Learning
E. Merkurjev
D. Nguyen
Guo-Wei Wei
32
4
0
08 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification
  Performance
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy
M. A. Amin
Akm Mahbubur Rahman
A. Ali
DRL
17
0
0
29 Aug 2021
Large-scale graph representation learning with very deep GNNs and
  self-supervision
Large-scale graph representation learning with very deep GNNs and self-supervision
Ravichandra Addanki
Peter W. Battaglia
David Budden
Andreea Deac
Jonathan Godwin
...
Wai Lok Sibon Li
Alvaro Sanchez-Gonzalez
Jacklynn Stott
S. Thakoor
Petar Velivcković
SSL
AI4CE
22
25
0
20 Jul 2021
GraphTheta: A Distributed Graph Neural Network Learning System With
  Flexible Training Strategy
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy
Yongchao Liu
Houyi Li
Guowei Zhang
Xintan Zeng
Yongyong Li
...
Peng Zhang
Zhao Li
Kefeng Deng
Changhua He
Wenguang Chen
GNN
42
11
0
21 Apr 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional
  Networks
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks
Sitao Luan
Mingde Zhao
X. Chang
Doina Precup
GNN
23
155
0
05 Jun 2019
Supervized Segmentation with Graph-Structured Deep Metric Learning
Supervized Segmentation with Graph-Structured Deep Metric Learning
Loic Landrieu
Mohamed Boussaha
6
1
0
10 May 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised
  Learning
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
Shikhar Vashishth
Prateek Yadav
Manik Bhandari
Partha P. Talukdar
GNN
17
40
0
24 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao
Zhizhen Zhao
R. Urtasun
R. Zemel
GNN
6
227
0
06 Jan 2019
Bayesian graph convolutional neural networks for semi-supervised
  classification
Bayesian graph convolutional neural networks for semi-supervised classification
Yingxue Zhang
Soumyasundar Pal
Mark J. Coates
Deniz Üstebay
GNN
BDL
19
227
0
27 Nov 2018
Graph HyperNetworks for Neural Architecture Search
Graph HyperNetworks for Neural Architecture Search
Chris Zhang
Mengye Ren
R. Urtasun
GNN
8
273
0
12 Oct 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
20
2,123
0
22 Jun 2018
Reviving and Improving Recurrent Back-Propagation
Reviving and Improving Recurrent Back-Propagation
Renjie Liao
Yuwen Xiong
Ethan Fetaya
Lisa Zhang
Kijung Yoon
Xaq Pitkow
R. Urtasun
R. Zemel
BDL
19
118
0
16 Mar 2018
1