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Easing Embedding Learning by Comprehensive Transcription of
  Heterogeneous Information Networks

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

10 July 2018
Yu Shi
Qi Zhu
Fang Guo
Chao Zhang
Jiawei Han
ArXivPDFHTML

Papers citing "Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks"

14 / 14 papers shown
Title
Continual Graph Learning: A Survey
Continual Graph Learning: A Survey
Qiao Yuan
S. Guan
Pin Ni
Tianlun Luo
Ka Lok Man
Prudence W. H. Wong
Victor I. Chang
CLL
26
14
0
28 Jan 2023
Effective Urban Region Representation Learning Using Heterogeneous Urban
  Graph Attention Network (HUGAT)
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
Namwoo Kim
Yoonjin Yoon
AI4TS
24
9
0
18 Feb 2022
Graph Convolutional Networks with Dual Message Passing for Subgraph
  Isomorphism Counting and Matching
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
Xin Liu
Yangqiu Song
GNN
27
24
0
16 Dec 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
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
38
294
0
30 Nov 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information
  Maximization
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Qi Zhu
Carl Yang
Yidan Xu
Haonan Wang
Chao Zhang
Jiawei Han
39
116
0
11 Sep 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Interpretable and Efficient Heterogeneous Graph Convolutional Network
Yaming Yang
Ziyu Guan
Jianxin Li
Wei Zhao
Jiangtao Cui
Quan Wang
GNN
24
171
0
27 May 2020
Heterogeneous Network Representation Learning: A Unified Framework with
  Survey and Benchmark
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark
Carl Yang
Yuxin Xiao
Yu Zhang
Yizhou Sun
Jiawei Han
AI4TS
49
57
0
01 Apr 2020
Beyond Node Embedding: A Direct Unsupervised Edge Representation
  Framework for Homogeneous Networks
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
S. Bandyopadhyay
Anirban Biswas
Narasimha M. Murty
Ramasuri Narayanam
GNN
32
16
0
11 Dec 2019
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information
  Network
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network
Seonghyeon Lee
Chanyoung Park
Hwanjo Yu
21
19
0
26 Nov 2019
JSCN: Joint Spectral Convolutional Network for Cross Domain
  Recommendation
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation
Zhiwei Liu
Lei Zheng
Jiawei Zhang
Jiayu Han
Philip S. Yu
16
26
0
18 Oct 2019
Temporal Network Embedding with Micro- and Macro-dynamics
Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu
Tianlin Li
C. Shi
Philip S. Yu
Yanfang Ye
AI4TS
AI4CE
13
117
0
10 Sep 2019
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous
  Information Network Embedding
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
Yu He
Yangqiu Song
Jianxin Li
Cheng Ji
Jian Peng
Hao Peng
11
111
0
07 Sep 2019
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding
Ninghao Liu
Qiaoyu Tan
Yuening Li
Hongxia Yang
Jingren Zhou
Xia Hu
27
87
0
25 May 2019
User-Guided Clustering in Heterogeneous Information Networks via
  Motif-Based Comprehensive Transcription
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription
Yu Shi
Xinwei He
Naijing Zhang
Carl Yang
Jiawei Han
17
2
0
28 Nov 2018
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