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Learning Edge Representations via Low-Rank Asymmetric Projections

Learning Edge Representations via Low-Rank Asymmetric Projections

16 May 2017
Sami Abu-El-Haija
Bryan Perozzi
Rami Al-Rfou
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Papers citing "Learning Edge Representations via Low-Rank Asymmetric Projections"

15 / 15 papers shown
Title
Learning Graph Node Embeddings by Smooth Pair Sampling
Learning Graph Node Embeddings by Smooth Pair Sampling
Konstantin Kutzkov
46
0
0
22 Jan 2025
PersonaSAGE: A Multi-Persona Graph Neural Network
PersonaSAGE: A Multi-Persona Graph Neural Network
G. Choudhary
I. Burhanuddin
Eunyee Koh
F. Du
Ryan A. Rossi
35
0
0
28 Dec 2022
Residual2Vec: Debiasing graph embedding with random graphs
Residual2Vec: Debiasing graph embedding with random graphs
Sadamori Kojaku
Jisung Yoon
I. Constantino
Yong-Yeol Ahn
CML
45
23
0
14 Oct 2021
Grale: Designing Networks for Graph Learning
Grale: Designing Networks for Graph Learning
Jonathan J. Halcrow
A. Mosoi
Sam Ruth
Bryan Perozzi
GNN
65
47
0
23 Jul 2020
Self-supervised edge features for improved Graph Neural Network training
Self-supervised edge features for improved Graph Neural Network training
Arijit Sehanobish
N. Ravindra
David van Dijk
SSL
18
6
0
23 Jun 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
22
286
0
07 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
52
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
Is a Single Embedding Enough? Learning Node Representations that Capture
  Multiple Social Contexts
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Alessandro Epasto
Bryan Perozzi
24
103
0
06 May 2019
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
18
19
0
14 Jan 2019
Node Representation Learning for Directed Graphs
Node Representation Learning for Directed Graphs
Megha Khosla
Jurek Leonhardt
Wolfgang Nejdl
Avishek Anand
29
55
0
22 Oct 2018
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of
  Large-Scale Mobile Games
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
Xi Liu
Muhe Xie
Xidao Wen
Rui Chen
Yong Ge
N. Duffield
Na Wang
19
43
0
20 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
16
118
0
10 Jul 2018
VERSE: Versatile Graph Embeddings from Similarity Measures
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
Emmanuel Müller
18
267
0
13 Mar 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
39
83
0
05 Mar 2018
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