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DeepWalk: Online Learning of Social Representations

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
ArXivPDFHTML

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,442 papers shown
Title
Heterogeneous Graph Contrastive Multi-view Learning
Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang
Qi Li
Donghua Yu
Xiaolong Han
Xiaohong Gao
Shigen Shen
52
29
0
01 Oct 2022
Contrastive Graph Few-Shot Learning
Contrastive Graph Few-Shot Learning
Chunhui Zhang
Hongfu Liu
Jundong Li
Yanfang Ye
Chuxu Zhang
38
1
0
30 Sep 2022
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs
Sudhanshu Chanpuriya
Ryan A. Rossi
Sungchul Kim
Tong Yu
Jane Hoffswell
Nedim Lipka
Shunan Guo
Cameron Musco
AI4TS
81
10
0
30 Sep 2022
Graph Neural Networks for Link Prediction with Subgraph Sketching
Graph Neural Networks for Link Prediction with Subgraph Sketching
B. Chamberlain
S. Shirobokov
Emanuele Rossi
Fabrizio Frasca
Thomas Markovich
Nils Y. Hammerla
Michael M. Bronstein
Max Hansmire
57
79
0
30 Sep 2022
ConceptNet infused DialoGPT for Underlying Commonsense Understanding and
  Reasoning in Dialogue Response Generation
ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation
Ye Liu
Wolfgang Maier
Wolfgang Minker
Stefan Ultes
54
2
0
29 Sep 2022
Trading off Quality for Efficiency of Community Detection: An Inductive
  Method across Graphs
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin
Chao Zhang
Bo Bai
Gong Zhang
Dit-Yan Yeung
35
2
0
29 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
25
15
0
28 Sep 2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
Hao Chen
Zefan Wang
Yue Xu
Xiao Huang
Feiran Huang
30
1
0
25 Sep 2022
Neural Graph Databases
Neural Graph Databases
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
47
9
0
20 Sep 2022
Walk-and-Relate: A Random-Walk-based Algorithm for Representation
  Learning on Sparse Knowledge Graphs
Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs
Saurav Manchanda
26
0
0
19 Sep 2022
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time
  Series Data on Dynamic Graphs
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs
Lisi Qarkaxhija
Vincenzo Perri
Ingo Scholtes
CML
AI4CE
24
6
0
17 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders
Flashlight: Scalable Link Prediction with Effective Decoders
Yiwei Wang
Bryan Hooi
Yozen Liu
Tong Zhao
Zhichun Guo
Neil Shah
BDL
21
6
0
17 Sep 2022
A Systematic Evaluation of Node Embedding Robustness
A Systematic Evaluation of Node Embedding Robustness
Alexandru Mara
Jefrey Lijffijt
Stephan Günnemann
T. D. Bie
AAML
22
0
0
16 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification
Hub-aware Random Walk Graph Embedding Methods for Classification
Aleksandar Tomcic
Miloš Savić
Miloš Radovanović
16
2
0
15 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
63
91
0
15 Sep 2022
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks
Simiao Zuo
Haoming Jiang
Qingyu Yin
Xianfeng Tang
Bing Yin
Tuo Zhao
37
0
0
15 Sep 2022
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel
  Communication-Computation Pipelining on Multi-GPU Platforms
MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms
Yuke Wang
Boyuan Feng
Zheng Wang
Tong Geng
Kevin J. Barker
Ang Li
Yufei Ding
GNN
45
25
0
14 Sep 2022
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Predicting Drug-Drug Interactions using Deep Generative Models on Graphs
Nhat-Khang Ngô
Truong-Son Hy
Risi Kondor
BDL
GNN
30
3
0
14 Sep 2022
Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action
  Segmentation in Videos
Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos
Jun-Bin Zhang
Pei-Hsuan Tsai
Meng-Hsun Tsai
42
20
0
13 Sep 2022
A Complex Network based Graph Embedding Method for Link Prediction
A Complex Network based Graph Embedding Method for Link Prediction
Said Kerrache
Hafida Benhidour
13
1
0
11 Sep 2022
Towards Sparsification of Graph Neural Networks
Towards Sparsification of Graph Neural Networks
Hongwu Peng
Deniz Gurevin
Shaoyi Huang
Tong Geng
Weiwen Jiang
O. Khan
Caiwen Ding
GNN
30
24
0
11 Sep 2022
Machine Learning Partners in Criminal Networks
Machine Learning Partners in Criminal Networks
Diego D. Lopes
B. R. D. Cunha
Alvaro F. Martins
S. Gonçalves
E. Lenzi
Q. Hanley
M. Perc
H. V. Ribeiro
29
22
0
07 Sep 2022
Being Automated or Not? Risk Identification of Occupations with Graph
  Neural Networks
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks
Dawei Xu
Haoran Yang
Marian-Andrei Rizoiu
Guandong Xu
22
0
0
06 Sep 2022
A Prufer-Sequence Based Representation of Large Graphs for Structural
  Encoding of Logic Networks
A Prufer-Sequence Based Representation of Large Graphs for Structural Encoding of Logic Networks
Manjari Pradhan
B. Bhattacharya
AI4CE
15
2
0
04 Sep 2022
Cross-Network Social User Embedding with Hybrid Differential Privacy
  Guarantees
Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
Jiaqian Ren
Lei Jiang
Hao Peng
Lingjuan Lyu
Zhiwei Liu
Chaochao Chen
Jia Wu
Xu Bai
Philip S. Yu
18
13
0
04 Sep 2022
Phishing URL Detection: A Network-based Approach Robust to Evasion
Phishing URL Detection: A Network-based Approach Robust to Evasion
Taeri Kim
Noseong Park
Jiwon Hong
Sang-Wook Kim
34
22
0
03 Sep 2022
Representing Social Networks as Dynamic Heterogeneous Graphs
Representing Social Networks as Dynamic Heterogeneous Graphs
Negar Maleki
Balaji Padmanabhan
K. Dutta
18
2
0
02 Sep 2022
Structure-Preserving Graph Representation Learning
Structure-Preserving Graph Representation Learning
Ruiyi Fang
Liangjiang Wen
Zhao Kang
Jianzhuang Liu
36
22
0
02 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha
Dong Gong
Xuesong Wang
Richard Turner
L. Yao
BDL
87
24
0
01 Sep 2022
Associative Learning for Network Embedding
Associative Learning for Network Embedding
Yuchen Liang
Dmitry Krotov
Mohammed J. Zaki
14
0
0
30 Aug 2022
A Self-supervised Riemannian GNN with Time Varying Curvature for
  Temporal Graph Learning
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning
Li Sun
Junda Ye
Hao Peng
Philip S. Yu
34
26
0
30 Aug 2022
Towards Higher-order Topological Consistency for Unsupervised Network
  Alignment
Towards Higher-order Topological Consistency for Unsupervised Network Alignment
Qi-Xin Sun
Xuemin Lin
Yanzhe Zhang
Wenbo Zhang
Chaoqi Chen
21
10
0
26 Aug 2022
A Survey on Temporal Graph Representation Learning and Generative
  Modeling
A Survey on Temporal Graph Representation Learning and Generative Modeling
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
34
6
0
25 Aug 2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to
  Graph Embeddings
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings
Milovs Savić
V. Kurbalija
Milovs Radovanović
26
1
0
25 Aug 2022
Representation Learning of Knowledge Graph for Wireless Communication
  Networks
Representation Learning of Knowledge Graph for Wireless Communication Networks
Shiwen He
Yeyu Ou
Liangpeng Wang
Hang Zhan
Peng Ren
Yongming Huang
GNN
30
3
0
22 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh Chawla
52
14
0
22 Aug 2022
Relational Self-Supervised Learning on Graphs
Relational Self-Supervised Learning on Graphs
Namkyeong Lee
Dongmin Hyun
Junseok Lee
Chanyoung Park
SSL
16
22
0
21 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural
  Networks
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks
Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Sheng Tian
Ruofan Wu
Changhua Meng
GNN
29
31
0
15 Aug 2022
ARIEL: Adversarial Graph Contrastive Learning
ARIEL: Adversarial Graph Contrastive Learning
Shengyu Feng
Baoyu Jing
Yada Zhu
Yangqiu Song
20
7
0
15 Aug 2022
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection
Link-Backdoor: Backdoor Attack on Link Prediction via Node Injection
Haibin Zheng
Haiyang Xiong
Hao-Shang Ma
Guohan Huang
Jinyin Chen
48
13
0
14 Aug 2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous
  Graphs
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs
Linhao Luo
Yixiang Fang
Moli Lu
Xin Cao
Xiaofeng Zhang
Wenjie Zhang
35
7
0
12 Aug 2022
Multiplex Heterogeneous Graph Convolutional Network
Multiplex Heterogeneous Graph Convolutional Network
YU Peng
Chaofan Fu
Yanwei Yu
Chao Huang
Zhongying Zhao
Junyu Dong
32
65
0
12 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical
  Molecules
Motif-based Graph Representation Learning with Application to Chemical Molecules
Yifei Wang
Shiyang Chen
Guobin Chen
Ethan Shurberg
Hang Liu
Pengyu Hong
GNN
33
14
0
09 Aug 2022
CSSAM:Code Search via Attention Matching of Code Semantics and
  Structures
CSSAM:Code Search via Attention Matching of Code Semantics and Structures
Yitao Hu
Bowen Cai
Yaoxiang Yu
25
3
0
08 Aug 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based
  Embedding
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding
Sarmad N. Mohammed
Semra Gunducc
26
1
0
07 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNN
AI4CE
55
372
0
05 Aug 2022
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge
  Distillation Processes
PGX: A Multi-level GNN Explanation Framework Based on Separate Knowledge Distillation Processes
Tien-Cuong Bui
Wen-Syan Li
S. Cha
16
1
0
05 Aug 2022
One Node at a Time: Node-Level Network Classification
One Node at a Time: Node-Level Network Classification
S. Shai
Isaac Jacobs
P. Mucha
GNN
24
1
0
03 Aug 2022
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous
  Networks
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks
Tiankai Gu
Chaokun Wang
Cheng Wu
Jingcao Xu
Yunkai Lou
Changping Wang
K. Xu
Can Ye
Yang Song
15
10
0
03 Aug 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation
  with Deep Learning
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning
Yufei Liu
Jie Cao
D. Pi
GNN
23
3
0
26 Jul 2022
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