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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
Generative Subgraph Contrast for Self-Supervised Graph Representation
  Learning
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
Yuehui Han
Le Hui
Haobo Jiang
J. Qian
Jin Xie
SSL
31
13
0
25 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory
Yuwei Hu
Jiajie Li
Zhongming Yu
Zhiru Zhang
GNN
39
0
0
25 Jul 2022
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings
  through Graph Contrastive Learning
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning
Haoran Yang
Xiangyu Zhao
Muyang Li
Hongxu Chen
Guandong Xu
FedML
44
2
0
24 Jul 2022
A flexible PageRank-based graph embedding framework closely related to
  spectral eigenvector embeddings
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings
Disha Shur
Yufan Huang
D. Gleich
29
1
0
22 Jul 2022
Privacy and Transparency in Graph Machine Learning: A Unified
  Perspective
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Megha Khosla
31
4
0
22 Jul 2022
Digraphwave: Scalable Extraction of Structural Node Embeddings via
  Diffusion on Directed Graphs
Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs
Ciwan Ceylan
Kambiz Ghoorchian
Danica Kragic
33
1
0
20 Jul 2022
Simplifying Clustering with Graph Neural Networks
Simplifying Clustering with Graph Neural Networks
F. Bianchi
27
10
0
18 Jul 2022
Demystifying Graph Convolution with a Simple Concatenation
Demystifying Graph Convolution with a Simple Concatenation
Zhiqian Chen
Zonghan Zhang
GNN
16
0
0
18 Jul 2022
FLOWGEN: Fast and slow graph generation
FLOWGEN: Fast and slow graph generation
Aman Madaan
Yiming Yang
AI4CE
27
3
0
15 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths
pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof
E. Haber
Eran Treister
3DPC
GNN
33
26
0
15 Jul 2022
Differentially Private Graph Learning via Sensitivity-Bounded
  Personalized PageRank
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
Alessandro Epasto
Vahab Mirrokni
Bryan Perozzi
Anton Tsitsulin
Peilin Zhong
26
23
0
14 Jul 2022
Logistics, Graphs, and Transformers: Towards improving Travel Time
  Estimation
Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation
Natalia Semenova
Vadim Porvatov
Vladislav Tishin
Artyom Sosedka
Vladislav Zamkovoy
AI4TS
21
2
0
12 Jul 2022
DDI Prediction via Heterogeneous Graph Attention Networks
DDI Prediction via Heterogeneous Graph Attention Networks
Farhan Tanvir
Khaled Mohammed Saifuddin
Esra Akbas
22
1
0
12 Jul 2022
Whois? Deep Author Name Disambiguation using Bibliographic Data
Whois? Deep Author Name Disambiguation using Bibliographic Data
Zeyd Boukhers
N. Bahubali
25
6
0
11 Jul 2022
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Few-Shot Semantic Relation Prediction across Heterogeneous Graphs
Pengfei Ding
Yan Wang
Guanfeng Liu
Xiaofang Zhou
36
5
0
11 Jul 2022
Wasserstein Graph Distance Based on $L_1$-Approximated Tree Edit
  Distance between Weisfeiler-Lehman Subtrees
Wasserstein Graph Distance Based on L1L_1L1​-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees
Zhongxi Fang
Jianming Huang
Xun Su
Hiroyuki Kasai
42
8
0
09 Jul 2022
A Survey on Hyperlink Prediction
A Survey on Hyperlink Prediction
Cang Chen
Yang-Yu Liu
3DV
AI4CE
22
40
0
06 Jul 2022
voxel2vec: A Natural Language Processing Approach to Learning
  Distributed Representations for Scientific Data
voxel2vec: A Natural Language Processing Approach to Learning Distributed Representations for Scientific Data
Xiangyang He
Y. Tao
Shuoliu Yang
Haoran Dai
Hai Lin
19
0
0
06 Jul 2022
Text Enriched Sparse Hyperbolic Graph Convolutional Networks
Text Enriched Sparse Hyperbolic Graph Convolutional Networks
Nurendra Choudhary
Nikhil S. Rao
Karthik Subbian
Chandan K. Reddy
28
0
0
06 Jul 2022
Learning node embeddings via summary graphs: a brief theoretical
  analysis
Learning node embeddings via summary graphs: a brief theoretical analysis
Houquan Zhou
Shenghua Liu
Danai Koutra
Huawei Shen
Xueqi Cheng
27
0
0
04 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu-Chiang Frank Wang
Yuying Zhao
Yi Zhang
Tyler Derr
GNN
42
61
0
03 Jul 2022
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Time-aware Dynamic Graph Embedding for Asynchronous Structural Evolution
Yu Yang
Hongzhi Yin
Jiannong Cao
Tong Chen
Quoc Viet Hung Nguyen
Xiaofang Zhou
Lei Chen
21
12
0
01 Jul 2022
Reliable Representations Make A Stronger Defender: Unsupervised
  Structure Refinement for Robust GNN
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN
Kuan Li
Yang Liu
Xiang Ao
Jianfeng Chi
Jinghua Feng
Hao Yang
Qing He
AAML
51
64
0
30 Jun 2022
The maximum capability of a topological feature in link prediction
The maximum capability of a topological feature in link prediction
Yijun Ran
Xiao-ke Xu
Tao Jia
12
15
0
30 Jun 2022
Modeling Teams Performance Using Deep Representational Learning on
  Graphs
Modeling Teams Performance Using Deep Representational Learning on Graphs
Francesco Carli
Pietro Foini
N. Gozzi
N. Perra
Rossano Schifanella
GNN
33
0
0
29 Jun 2022
A Representation Learning Framework for Property Graphs
A Representation Learning Framework for Property Graphs
Yifan Hou
Hongzhi Chen
Changji Li
James Cheng
Ming Yang
AI4TS
25
35
0
27 Jun 2022
Measuring and Improving the Use of Graph Information in Graph Neural
  Networks
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Yifan Hou
Jie M. Zhang
James Cheng
Kaili Ma
Richard T. B. Ma
Hongzhi Chen
Ming Yang
GNN
16
0
0
27 Jun 2022
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised
  Learning
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
Jiashun Cheng
Man Li
Jia Li
Fugee Tsung
SSL
31
14
0
26 Jun 2022
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network
Khaled Mohammed Saifuddin
Bri Bumgardnerr
Farhan Tanvir
Esra Akbas
17
27
0
25 Jun 2022
Geometry Contrastive Learning on Heterogeneous Graphs
Geometry Contrastive Learning on Heterogeneous Graphs
Shichao Zhu
Chuan Zhou
Anfeng Cheng
Shirui Pan
Shuaiqiang Wang
Dawei Yin
Bin Wang
SSL
27
1
0
25 Jun 2022
Source Localization of Graph Diffusion via Variational Autoencoders for
  Graph Inverse Problems
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
Chen Ling
Junji Jiang
Junxiang Wang
Liang Zhao
DiffM
32
46
0
24 Jun 2022
MultiSAGE: a multiplex embedding algorithm for inter-layer link
  prediction
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction
Luca Gallo
Vito Latora
Alfredo Pulvirenti
30
1
0
24 Jun 2022
Sampling Enclosing Subgraphs for Link Prediction
Sampling Enclosing Subgraphs for Link Prediction
Paul Louis
Shweta Ann Jacob
Amirali Salehi-Abari
GNN
37
14
0
23 Jun 2022
Similarity-aware Positive Instance Sampling for Graph Contrastive
  Pre-training
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training
Xueyi Liu
Yu Rong
Tingyang Xu
Gang Hua
Wen-bing Huang
Junzhou Huang
21
0
0
23 Jun 2022
Constructing Cross-lingual Consumer Health Vocabulary with
  Word-Embedding from Comparable User Generated Content
Constructing Cross-lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
Chia-Hsuan Chang
Lei Wang
Christopher C. Yang
37
1
0
23 Jun 2022
Agent-based Graph Neural Networks
Agent-based Graph Neural Networks
Karolis Martinkus
Pál András Papp
Benedikt Schesch
Roger Wattenhofer
LLMAG
GNN
44
18
0
22 Jun 2022
Efficient and effective training of language and graph neural network
  models
Efficient and effective training of language and graph neural network models
V. Ioannidis
Xiang Song
Da Zheng
Houyu Zhang
Jun Ma
Yi Xu
Belinda Zeng
Trishul Chilimbi
George Karypis
GNN
21
12
0
22 Jun 2022
Statistical network isomorphism
Statistical network isomorphism
Pierre Miasnikof. Alexander Y. Shestopaloff
Alexander Y. Shestopaloff
Cristián Bravo
Y. Lawryshyn
17
1
0
21 Jun 2022
Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex
  Sructure
Temporal Link Prediction via Adjusted Sigmoid Function and 2-Simplex Sructure
Ruizhi Zhang
Qiaozi Wang
Qiming Yang
Wei Wei
11
5
0
20 Jun 2022
MetaGL: Evaluation-Free Selection of Graph Learning Models via
  Meta-Learning
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning
Namyong Park
Ryan Rossi
Nesreen Ahmed
Christos Faloutsos
27
7
0
18 Jun 2022
Prediction of Solar Radiation Based on Spatial and Temporal Embeddings
  for Solar Generation Forecast
Prediction of Solar Radiation Based on Spatial and Temporal Embeddings for Solar Generation Forecast
Mohammad Alqudah
Tatjana Djokic
M. Kezunovic
Z. Obradovic
19
5
0
17 Jun 2022
A Graph-Enhanced Click Model for Web Search
A Graph-Enhanced Click Model for Web Search
Jianghao Lin
Weiwen Liu
Xinyi Dai
Weinan Zhang
Shuai Li
Ruiming Tang
Xiuqiang He
Jianye Hao
Yong Yu
27
35
0
17 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation
  Learning
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning
Wentao Zhang
Zeang Sheng
Mingyu Yang
Yang Li
Yu Shen
Zhi-Xin Yang
Bin Cui
AAML
33
16
0
17 Jun 2022
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
NCAGC: A Neighborhood Contrast Framework for Attributed Graph Clustering
Tong Wang
Guanyu Yang
Qijia He
Zhenquan Zhang
Junhua Wu
22
4
0
16 Jun 2022
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes
Dual-channel Early Warning Framework for Ethereum Ponzi Schemes
Jie Jin
Jiajun Zhou
Chengxiang Jin
Shanqing Yu
Ziwan Zheng
Qi Xuan
25
10
0
16 Jun 2022
tBDFS: Temporal Graph Neural Network Leveraging DFS
tBDFS: Temporal Graph Neural Network Leveraging DFS
Uriel Singer
Haggai Roitman
Ido Guy
Kira Radinsky
AI4CE
33
0
0
12 Jun 2022
Semi-Supervised Hierarchical Graph Classification
Semi-Supervised Hierarchical Graph Classification
Jia Li
Yongfeng Huang
Heng Chang
Yu Rong
31
28
0
11 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph
  Neural Networks
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks
Tianxiang Zhao
Xiang Zhang
Suhang Wang
33
6
0
10 Jun 2022
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on
  Hypergraphs
I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs
Dongjin Lee
Kijung Shin
40
37
0
09 Jun 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
49
90
0
09 Jun 2022
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