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. 1612.02814
  4. Cited By
Task-Guided and Path-Augmented Heterogeneous Network Embedding for
  Author Identification
v1v2 (latest)

Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification

8 December 2016
Ting-Li Chen
Yizhou Sun
ArXiv (abs)PDFHTML

Papers citing "Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification"

32 / 32 papers shown
Title
PART: Pre-trained Authorship Representation Transformer
PART: Pre-trained Authorship Representation Transformer
Javier Huertas-Tato
Álvaro Huertas-García
Alejandro Martín
137
9
0
30 Sep 2022
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for
  Multilingual Tweet Representations at Twitter
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter
Xinyang Zhang
Yury Malkov
Omar U. Florez
Serim Park
Brian McWilliams
Jiawei Han
Ahmed El-Kishky
VLM
109
94
0
15 Sep 2022
Simple and Efficient Heterogeneous Graph Neural Network
Simple and Efficient Heterogeneous Graph Neural Network
Xiaocheng Yang
Yurui Lai
Shirui Pan
Xiaochun Ye
Xiaochun Ye
149
140
0
06 Jul 2022
Network representation learning: A macro and micro view
Network representation learning: A macro and micro view
Xueyi Liu
Jie Tang
GNNAI4TS
85
23
0
21 Nov 2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via
  Pre-Training
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training
Ziyue Qiao
Yanjie Fu
Pengyang Wang
Meng Xiao
Zhiyuan Ning
Denghui Zhang
Yi Du
Yuanchun Zhou
99
13
0
08 Oct 2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Jianxin Li
Hao Peng
Dongyuan Li
Yingtong Dou
Hekai Zhang
Philip S. Yu
Lifang He
93
81
0
16 Apr 2021
Leveraging Meta-path Contexts for Classification in Heterogeneous
  Information Networks
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks
Xiang Li
Danhao Ding
B. Kao
Yizhou Sun
N. Mamoulis
149
49
0
18 Dec 2020
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
127
315
0
30 Nov 2020
Attentional Graph Convolutional Networks for Knowledge Concept
  Recommendation in MOOCs in a Heterogeneous View
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
Shen Wang
Jibing Gong
Jinlong Wang
Wenzheng Feng
Hao Peng
Jie Tang
Philip S. Yu
AI4EdHAI
56
134
0
23 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding
Unsupervised Differentiable Multi-aspect Network Embedding
Chanyoung Park
Carl Yang
Qi Zhu
Donghyun Kim
Hwanjo Yu
Jiawei Han
23
31
0
07 Jun 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
145
58
0
01 Apr 2020
Siamese Networks for Large-Scale Author Identification
Siamese Networks for Large-Scale Author Identification
Chakaveh Saedi
Mark Dras
85
38
0
23 Dec 2019
An Attention-based Graph Neural Network for Heterogeneous Structural
  Learning
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
Huiting Hong
Hantao Guo
Yucheng Lin
Xiaoqing Yang
Zang Li
Jieping Ye
85
219
0
19 Dec 2019
Neural Embedding Propagation on Heterogeneous Networks
Neural Embedding Propagation on Heterogeneous Networks
Carl Yang
Jieyu Zhang
Jiawei Han
93
20
0
29 Sep 2019
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights
Carl Yang
Yichen Feng
Pan Li
Yu Shi
Jiawei Han
74
42
0
29 Sep 2019
The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets
The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets
Charuta Pethe
Steven Skiena
42
4
0
09 Sep 2019
Dynamic Network Embeddings for Network Evolution Analysis
Dynamic Network Embeddings for Network Evolution Analysis
Chuanchang Chen
Y. Tao
Hai Lin
66
8
0
24 Jun 2019
Task-Guided Pair Embedding in Heterogeneous Network
Task-Guided Pair Embedding in Heterogeneous Network
Chanyoung Park
Donghyun Kim
Qi Zhu
Jiawei Han
Hwanjo Yu
98
20
0
04 Jun 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A Survey
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
105
464
0
27 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A
  Novel Graph Neural Network Approach
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Changjun Fan
Li Zeng
Yuhui Ding
Muhao Chen
Yizhou Sun
Zhong Liu
GNN
77
68
0
24 May 2019
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Efficient Representation Learning Using Random Walks for Dynamic Graphs
Hooman Peiro Sajjad
Andrew Docherty
Y. Tyshetskiy
59
27
0
05 Jan 2019
Exploring Student Check-In Behavior for Improved Point-of-Interest
  Prediction
Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction
Mengyue Hang
Ian Pytlarz
Jennifer Neville
43
49
0
25 Sep 2018
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous
  Information Networks
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Lichao Sun
Lifang He
Zhipeng Huang
Bokai Cao
Congying Xia
Xiaokai Wei
Philip S. Yu
GNN
52
30
0
11 Sep 2018
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
Jundong Li
Liang Wu
Huan Liu
50
35
0
26 Aug 2018
Easing Embedding Learning by Comprehensive Transcription of
  Heterogeneous Information Networks
Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks
Yu Shi
Qi Zhu
Fang Guo
Chao Zhang
Jiawei Han
100
118
0
10 Jul 2018
Learning K-way D-dimensional Discrete Codes for Compact Embedding
  Representations
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
Ting-Li Chen
Martin Renqiang Min
Yizhou Sun
77
71
0
21 Jun 2018
Billion-scale Network Embedding with Iterative Random Projection
Billion-scale Network Embedding with Iterative Random Projection
Ziwei Zhang
Peng Cui
Haoyang Li
Tianlin Li
Wenwu Zhu
153
84
0
07 May 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini
Ting-Li Chen
Wenjun Wu
Yizhou Sun
Majid Sarrafzadeh
57
51
0
22 Apr 2018
AspEm: Embedding Learning by Aspects in Heterogeneous Information
  Networks
AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
Yu Shi
Huan Gui
Qi Zhu
Lance M. Kaplan
Jiawei Han
65
83
0
05 Mar 2018
Accelerating Dependency Graph Learning from Heterogeneous Categorical
  Event Streams via Knowledge Transfer
Accelerating Dependency Graph Learning from Heterogeneous Categorical Event Streams via Knowledge Transfer
Chen Luo
Zhengzhang Chen
L. Tang
Anshumali Shrivastava
Zhichun Li
20
1
0
25 Aug 2017
On Sampling Strategies for Neural Network-based Collaborative Filtering
On Sampling Strategies for Neural Network-based Collaborative Filtering
Ting-Li Chen
Yizhou Sun
Yue Shi
Liangjie Hong
78
226
0
23 Jun 2017
Name Disambiguation in Anonymized Graphs using Network Embedding
Name Disambiguation in Anonymized Graphs using Network Embedding
Baichuan Zhang
M. Hasan
96
108
0
08 Feb 2017
1