ResearchTrend.AI
  • Papers
  • Communities
  • Organizations
  • 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. 1607.00653
  4. Cited By
node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

3 July 2016
Aditya Grover
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,628 papers shown
Title
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical
  Concept Linking
PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking
Yuzhang Xie
Jiaying Lu
Joyce C. Ho
Fadi B Nahab
Xiao Hu
Carl Yang
87
4
0
13 May 2024
Link Stealing Attacks Against Inductive Graph Neural Networks
Link Stealing Attacks Against Inductive Graph Neural Networks
Yixin Wu
Xinlei He
Pascal Berrang
Mathias Humbert
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
83
3
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
Community-Invariant Graph Contrastive Learning
Community-Invariant Graph Contrastive Learning
Shiyin Tan
Dongyuan Li
Xue Liu
Ying Zhang
Manabu Okumura
OOD
115
4
0
02 May 2024
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings
Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings
David Liu
Arjun Seshadri
Tina Eliassi-Rad
J. Ugander
65
1
0
30 Apr 2024
Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for
  Map-Constrained Trajectory Recovery
Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery
Tonglong Wei
Youfang Lin
Yan Lin
Shengnan Guo
Lan Zhang
Huaiyu Wan
100
8
0
29 Apr 2024
Parameter-Efficient Tuning Large Language Models for Graph
  Representation Learning
Parameter-Efficient Tuning Large Language Models for Graph Representation Learning
Qi Zhu
Da Zheng
Xiang Song
Shichang Zhang
Bowen Jin
Yizhou Sun
George Karypis
99
2
0
28 Apr 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
Generative AI for Visualization: State of the Art and Future Directions
Generative AI for Visualization: State of the Art and Future Directions
Yilin Ye
Jianing Hao
Yihan Hou
Zhan Wang
Shishi Xiao
Yuyu Luo
Wei Zeng
107
51
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
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for
  Traffic Speed Prediction
ICST-DNET: An Interpretable Causal Spatio-Temporal Diffusion Network for Traffic Speed Prediction
Yi Rong
Yingchi Mao
Yinqiu Liu
Ling Chen
Xiaoming He
Dusit Niyato
DiffM
69
1
0
22 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
Integrating Graph Neural Networks with Scattering Transform for Anomaly
  Detection
Integrating Graph Neural Networks with Scattering Transform for Anomaly Detection
Abdeljalil Zoubir
Badr Missaoui
74
0
0
16 Apr 2024
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory
  Graph Modeling and Representation Learning
Efflex: Efficient and Flexible Pipeline for Spatio-Temporal Trajectory Graph Modeling and Representation Learning
Ming Cheng
Ziyi Zhou
Bowen Zhang
Ziyu Wang
Jiaqi Gan
Ziang Ren
Weiqi Feng
Yi Lyu
Hefan Zhang
Xingjian Diao
69
8
0
15 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
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing
  Service Discovery
Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery
Yunqing Li
B. Starly
54
13
0
09 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
Graph Vertex Embeddings: Distance, Regularization and Community
  Detection
Graph Vertex Embeddings: Distance, Regularization and Community Detection
Radoslaw Nowak
Adam Malkowski
Daniel Cie'slak
Piotr Sokól
Pawel Wawrzyñski
61
0
0
09 Apr 2024
AI for DevSecOps: A Landscape and Future Opportunities
AI for DevSecOps: A Landscape and Future Opportunities
Michael Fu
Jirat Pasuksmit
Chakkrit Tantithamthavorn
102
7
0
07 Apr 2024
Model Selection with Model Zoo via Graph Learning
Model Selection with Model Zoo via Graph Learning
Ziyu Li
Hilco van der Wilk
Danning Zhan
Megha Khosla
A. Bozzon
Rihan Hai
118
2
0
05 Apr 2024
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent
  Threats Detection
LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection
Xiaoxiao Liu
Fan Xu
Nan Wang
Qinxin Zhao
Dalin Zhang
Xibin Zhao
Jiqiang Liu
93
0
0
04 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection
Namyong Park
Ryan Rossi
Xing Wang
Antoine Simoulin
Nesreen K. Ahmed
Christos Faloutsos
VLM
110
2
0
02 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step
  Guide
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
Sunwoo Kim
Soo Yong Lee
Yue Gao
Alessia Antelmi
Mirko Polato
Kijung Shin
GNNAI4TS
92
23
0
01 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
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
Diffusion-based Negative Sampling on Graphs for Link Prediction
Diffusion-based Negative Sampling on Graphs for Link Prediction
Trung-Kien Nguyen
Yuan Fang
DiffM
82
11
0
25 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
Deep Learning for Trajectory Data Management and Mining: A Survey and
  Beyond
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
Wei Chen
Yuxuan Liang
Yuanshao Zhu
Yanchuan Chang
Kang Luo
...
Chao Chen
Kai Zheng
Yunjun Gao
Xiaofang Zhou
Yu Zheng
130
29
0
21 Mar 2024
Semantic-Enhanced Representation Learning for Road Networks with
  Temporal Dynamics
Semantic-Enhanced Representation Learning for Road Networks with Temporal Dynamics
Yile Chen
Xiucheng Li
Gao Cong
Zhifeng Bao
Cheng Long
52
2
0
18 Mar 2024
Probabilistic World Modeling with Asymmetric Distance Measure
Probabilistic World Modeling with Asymmetric Distance Measure
Meng Song
63
0
0
16 Mar 2024
SHAN: Object-Level Privacy Detection via Inference on Scene
  Heterogeneous Graph
SHAN: Object-Level Privacy Detection via Inference on Scene Heterogeneous Graph
Zhuohang Jiang
Bingkui Tong
Xia Du
Ahmed Alhammadi
Jizhe Zhou
92
0
0
14 Mar 2024
Link Prediction for Social Networks using Representation Learning and
  Heuristic-based Features
Link Prediction for Social Networks using Representation Learning and Heuristic-based Features
Samarth Khanna
Sree Bhattacharyya
Sudipto Ghosh
Kushagra Agarwal
Asit Kumar Das
GNNAI4TS
52
1
0
13 Mar 2024
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid
  Approach
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach
Jinxi Kuang
Jinyang Liu
Junjie Huang
Renyi Zhong
Jiazhen Gu
Lan Yu
Rui Tan
Zengyin Yang
Michael R. Lyu
59
7
0
11 Mar 2024
Financial Default Prediction via Motif-preserving Graph Neural Network
  with Curriculum Learning
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
Daixin Wang
Qing Cui
Yeyu Zhao
Kai Huang
Yulin Kang
Jun Zhou
AI4TS
73
11
0
11 Mar 2024
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph
  Representation Learning
SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
Dong Chen
Shuai Zheng
Muhao Xu
Zhenfeng Zhu
Yao-Min Zhao
88
3
0
11 Mar 2024
An Efficient Learning-based Solver Comparable to Metaheuristics for the
  Capacitated Arc Routing Problem
An Efficient Learning-based Solver Comparable to Metaheuristics for the Capacitated Arc Routing Problem
Runze Guo
Feng Xue
Anlong Ming
N. Sebe
147
0
0
11 Mar 2024
Node Centrality Approximation For Large Networks Based On Inductive
  Graph Neural Networks
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
Yiwei Zou
Ting Li
Zong-fu Luo
GNN
60
1
0
08 Mar 2024
Control-based Graph Embeddings with Data Augmentation for Contrastive
  Learning
Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
O. Ahmad
Anwar Said
Mudassir Shabbir
W. Abbas
X. Koutsoukos
48
1
0
07 Mar 2024
Multi-Scale Subgraph Contrastive Learning
Multi-Scale Subgraph Contrastive Learning
Yanbei Liu
Yu Zhao
Xiao Wang
Lei Geng
Zhitao Xiao
79
13
0
05 Mar 2024
Unveiling Hidden Links Between Unseen Security Entities
Unveiling Hidden Links Between Unseen Security Entities
Daniel Alfasi
T. Shapira
Anat Bremler Barr
66
2
0
04 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection
Mitigating Label Noise on Graph via Topological Sample Selection
Yuhao Wu
Jiangchao Yao
Xiaobo Xia
Jun-chen Yu
Ruxing Wang
Bo Han
Tongliang Liu
NoLa
117
2
0
04 Mar 2024
RCoCo: Contrastive Collective Link Prediction across Multiplex Network
  in Riemannian Space
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space
Li Sun
Mengjie Li
Yong Yang
Xiao Li
Lin Liu
Pengfei Zhang
Haohua Du
80
1
0
04 Mar 2024
Previous
123...678...515253
Next