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DeepWalk: Online Learning of Social Representations
v1v2 (latest)

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
ArXiv (abs)PDFHTML

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,466 papers shown
Title
Link Prediction in Bipartite Networks
Link Prediction in Bipartite Networks
Sükrü Demir Inan Özer
Günce Keziban Orman
Vincent Labatut
74
2
0
10 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural
  Networks
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
Dongrui Fan
Xiaoyang Lin
Renchi Yang
Hongtao Wang
136
2
0
08 Jun 2024
Road Network Representation Learning with the Third Law of Geography
Road Network Representation Learning with the Third Law of Geography
Haicang Zhou
Weiming Huang
Yile Chen
Tiantian He
Gao Cong
Yew-Soon Ong
65
4
0
06 Jun 2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective
  Reinforcement Learning
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
Wei Shao
Yufan Kang
Ziyan Peng
Xiao Xiao
Lei Wang
Yuhui Yang
Flora D Salim
90
1
0
06 Jun 2024
Stock Movement Prediction with Multimodal Stable Fusion via Gated
  Cross-Attention Mechanism
Stock Movement Prediction with Multimodal Stable Fusion via Gated Cross-Attention Mechanism
Chang Zong
Jian Shao
Weiming Lu
Yueting Zhuang
107
3
0
06 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks
Learning Long Range Dependencies on Graphs via Random Walks
Dexiong Chen
Till Hendrik Schulz
Karsten Borgwardt
88
6
0
05 Jun 2024
Reproducibility study of FairAC
Reproducibility study of FairAC
Gijs de Jong
Macha J. Meijer
Derck W. E. Prinzhorn
Harold Ruiter
101
0
0
05 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
126
6
0
03 Jun 2024
Learning to Solve Multiresolution Matrix Factorization by Manifold
  Optimization and Evolutionary Metaheuristics
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
Truong-Son Hy
Thieu Khang
Risi Kondor
62
0
0
01 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
127
11
0
31 May 2024
Towards Deeper Understanding of PPR-based Embedding Approaches: A
  Topological Perspective
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective
Xingyi Zhang
Zixuan Weng
Sibo Wang
78
5
0
30 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation
Bruno Deprez
Toon Vanderschueren
Bart Baesens
Tim Verdonck
Wouter Verbeke
252
5
0
29 May 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
Mingqing Xiao
Yixin Zhu
D.K. He
Zhouchen Lin
LRM
116
4
0
27 May 2024
SoK: Leveraging Transformers for Malware Analysis
SoK: Leveraging Transformers for Malware Analysis
Pradip Kunwar
Kshitiz Aryal
Maanak Gupta
Mahmoud Abdelsalam
Elisa Bertino
183
0
0
27 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Rui Miao
Kaixiong Zhou
Yili Wang
Ninghao Liu
Ying Wang
Xin Wang
106
5
0
24 May 2024
Encoder Embedding for General Graph and Node Classification
Encoder Embedding for General Graph and Node Classification
Cencheng Shen
GNN
92
5
0
24 May 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph
  Representation Learning
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
Zhuo Xu
Lu Bai
Lixin Cui
Ming Li
Yue Wang
Edwin R. Hancock
GNN
79
1
0
23 May 2024
Graphlets correct for the topological information missed by random walks
Graphlets correct for the topological information missed by random walks
Sam F. L. Windels
N. Malod-Dognin
Nataša Pržulj
37
0
0
23 May 2024
Advancing Transportation Mode Share Analysis with Built Environment:
  Deep Hybrid Models with Urban Road Network
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network
Dingyi Zhuang
Qingyi Wang
Yunhan Zheng
Xiaotong Guo
Shenhao Wang
Haris N. Koutsopoulos
Jinhua Zhao
53
0
0
23 May 2024
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery
Hongsheng Wang
Weiyue Zhang
Sihao Liu
Xinrui Zhou
Jing Li
Zhanyun Tang
Shengyu Zhang
Leilei Gan
Feng Lin
128
3
0
21 May 2024
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Marcin Podhajski
Jan Dubiñski
Franziska Boenisch
Adam Dziedzic
Agnieszka Pregowska
Tomasz Michalak
90
2
0
20 May 2024
Effective Clustering on Large Attributed Bipartite Graphs
Effective Clustering on Large Attributed Bipartite Graphs
Renchi Yang
Yidu Wu
Xiaoyang Lin
Qichen Wang
Tsz Nam Chan
Jieming Shi
97
3
0
20 May 2024
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph
  Clustering
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
Li Sun
Zhenhao Huang
Hao Peng
Yujie Wang
Chunyang Liu
Philip S. Yu
GNN
96
11
0
20 May 2024
Safety in Graph Machine Learning: Threats and Safeguards
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
106
8
0
17 May 2024
Simplicity within biological complexity
Simplicity within biological complexity
Nataša Pržulj
N. Malod-Dognin
77
0
0
15 May 2024
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous
  Information Network
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network
Chenglin Li
Yuanzhen Xie
Chenyun Yu
Lei Cheng
Bo Hu
Zang Li
Di Niu
73
0
0
11 May 2024
Deep Hierarchical Graph Alignment Kernels
Deep Hierarchical Graph Alignment Kernels
Shuhao Tang
Hao Tian
Xiaofeng Cao
Wei Ye
88
1
0
09 May 2024
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph
Adaptive Speech Emotion Representation Learning Based On Dynamic Graph
Yingxue Gao
Huan Zhao
Zixing Zhang
108
1
0
07 May 2024
Robust Collaborative Perception without External Localization and Clock
  Devices
Robust Collaborative Perception without External Localization and Clock Devices
Zixing Lei
Zhenyang Ni
Ruize Han
Shuo Tang
Dingju Wang
Chen Feng
Siheng Chen
Yanfeng Wang
85
5
0
05 May 2024
Subgraph2vec: A random walk-based algorithm for embedding knowledge
  graphs
Subgraph2vec: A random walk-based algorithm for embedding knowledge graphs
Elika Bozorgi
Saber Soleymani
S. Alqaaidi
H. Arabnia
Krzysztof J. Kochut
64
4
0
03 May 2024
SoMeR: Multi-View User Representation Learning for Social Media
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo
Keith Burghardt
Valeria Pante
Kristina Lerman
AI4TS
114
0
0
02 May 2024
A survey of dynamic graph neural networks
A survey of dynamic graph neural networks
Yanping Zheng
Lu Yi
Zhewei Wei
AI4TSAI4CE
81
13
0
28 Apr 2024
Knowledge Graph Completion using Structural and Textual Embeddings
Knowledge Graph Completion using Structural and Textual Embeddings
S. Alqaaidi
Krzysztof J. Kochut
81
0
0
24 Apr 2024
PHLP: Sole Persistent Homology for Link Prediction -- Interpretable
  Feature Extraction
PHLP: Sole Persistent Homology for Link Prediction -- Interpretable Feature Extraction
Junwon You
Eunwoo Heo
Jae-Hun Jung
86
1
0
23 Apr 2024
Graph Machine Learning in the Era of Large Language Models (LLMs)
Graph Machine Learning in the Era of Large Language Models (LLMs)
Wenqi Fan
Shijie Wang
Jiani Huang
Zhikai Chen
Yu Song
...
Haitao Mao
Hui Liu
Xiaorui Liu
D. Yin
Qing Li
AI4CE
138
29
0
23 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
95
0
0
19 Apr 2024
Binder: Hierarchical Concept Representation through Order Embedding of
  Binary Vectors
Binder: Hierarchical Concept Representation through Order Embedding of Binary Vectors
Croix Gyurek
Niloy Talukder
Mohammad A. Hasan
62
2
0
16 Apr 2024
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic
  Graph Random Walk Framework
FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework
Jun-Hua Mei
Shixuan Sun
Chao Li
Cheng Xu
Cheng Chen
...
Cheng Zhao
Xiao-Ke Hou
Minyi Guo
Bingsheng He
Xiaoliang Cong
147
4
0
12 Apr 2024
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and
  Representation Learning
VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
Ming Cheng
Bowen Zhang
Ziyu Wang
Ziyi Zhou
Weiqi Feng
Yi Lyu
Xingjian Diao
80
2
0
11 Apr 2024
Can Contrastive Learning Refine Embeddings
Can Contrastive Learning Refine Embeddings
Lihui Liu
Jinha Kim
Vidit Bansal
SSL
76
1
0
11 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
129
8
0
09 Apr 2024
Milgram's experiment in the knowledge space: Individual navigation strategies
Manran Zhu
János Kertész
5
1
0
09 Apr 2024
Temporal Generalization Estimation in Evolving Graphs
Temporal Generalization Estimation in Evolving Graphs
Bin Lu
Tingyan Ma
Xiaoying Gan
Xinbing Wang
Yunqiang Zhu
Cheng Zhou
Shiyu Liang
77
1
0
07 Apr 2024
HeteroMILE: a Multi-Level Graph Representation Learning Framework for
  Heterogeneous Graphs
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs
Yue Zhang
Yuntian He
Saket Gurukar
Srinivasan Parthasarathy
121
0
0
31 Mar 2024
Learning Service Selection Decision Making Behaviors During Scientific
  Workflow Development
Learning Service Selection Decision Making Behaviors During Scientific Workflow Development
Xihao Xie
Jia Zhang
Rahul Ramachandran
Tsengdar Lee
Seungwon Lee
61
0
0
30 Mar 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
108
23
0
30 Mar 2024
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs
  Embedding
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
Marco Bongiovanni
Luca Gallo
Roberto Grasso
Alfredo Pulvirenti
GNN
69
0
0
28 Mar 2024
HealthGAT: Node Classifications in Electronic Health Records using Graph
  Attention Networks
HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
Fahmida Liza Piya
Mehak Gupta
Rahmatollah Beheshti
78
1
0
26 Mar 2024
Node Classification via Semantic-Structural Attention-Enhanced Graph
  Convolutional Networks
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
Hongyin Zhu
GNN
98
0
0
24 Mar 2024
STEntConv: Predicting Disagreement with Stance Detection and a Signed
  Graph Convolutional Network
STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network
Isabelle Lorge
Li Zhang
Xiaowen Dong
J. Pierrehumbert
53
0
0
23 Mar 2024
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