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Graph Inference Learning for Semi-supervised Classification

Graph Inference Learning for Semi-supervised Classification

International Conference on Learning Representations (ICLR), 2020
17 January 2020
Chunyan Xu
Zhen Cui
Xiaobin Hong
Tong Zhang
Zhiqiang Wang
Wei Liu
ArXiv (abs)PDFHTML

Papers citing "Graph Inference Learning for Semi-supervised Classification"

9 / 9 papers shown
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt
Mouxiang Chen
Zemin Liu
Chenghao Liu
Jundong Li
Qiheng Mao
Jianling Sun
AAML
323
15
0
23 Oct 2023
Select and Calibrate the Low-confidence: Dual-Channel Consistency based
  Graph Convolutional Networks
Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks
S. Shi
Jian Chen
Kai Qiao
Shuai Yang
Linyuan Wang
B. Yan
GNN
207
1
0
08 May 2022
Graph Inference Representation: Learning Graph Positional Embeddings
  with Anchor Path Encoding
Graph Inference Representation: Learning Graph Positional Embeddings with Anchor Path Encoding
Yuheng Lu
Jinpeng Chen
Chuxiong Sun
Jie Hu
GNN
198
2
0
09 May 2021
Graph-based Semi-supervised Learning: A Comprehensive Review
Graph-based Semi-supervised Learning: A Comprehensive ReviewIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Zixing Song
Xiangli Yang
Zenglin Xu
Irwin King
422
280
0
26 Feb 2021
Should Graph Convolution Trust Neighbors? A Simple Causal Inference
  Method
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
Weiran Huang
Xiangnan He
Xin Xin
Qifan Wang
Tat-Seng Chua
GNNCML
319
72
0
22 Oct 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based
  Semi-Supervised Learning
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Sheng Wan
Shirui Pan
Zhiqiang Wang
Chen Gong
SSL
375
161
0
15 Sep 2020
GraphReach: Position-Aware Graph Neural Network using Reachability
  Estimations
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Sunil Nishad
Shubhangi Agarwal
A. Bhattacharya
Jignesh M. Patel
GNN
254
24
0
19 Aug 2020
Heuristic Semi-Supervised Learning for Graph Generation Inspired by
  Electoral College
Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College
Chen Li
Xutan Peng
Hao Peng
Jianxin Li
Lihong Wang
Philip S. Yu
Lifang He
201
3
0
10 Jun 2020
Semi-supervised Anomaly Detection on Attributed Graphs
Semi-supervised Anomaly Detection on Attributed GraphsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Atsutoshi Kumagai
Tomoharu Iwata
Yasuhiro Fujiwara
232
50
0
27 Feb 2020
1
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