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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 / 2,627 papers shown
Title
Hyperedge Representations with Hypergraph Wavelets: Applications to
  Spatial Transcriptomics
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
Xingzhi Sun
C. Xu
Joao F. Rocha
Chen Liu
Benjamin Hollander-Bodie
Laney Goldman
Marcello DiStasio
Michael Perlmutter
Smita Krishnaswamy
MedIm
54
2
0
14 Sep 2024
Promoting Fairness in Link Prediction with Graph Enhancement
Promoting Fairness in Link Prediction with Graph Enhancement
Yezi Liu
Hanning Chen
Mohsen Imani
82
3
0
13 Sep 2024
Multiplex Graph Contrastive Learning with Soft Negatives
Multiplex Graph Contrastive Learning with Soft Negatives
Zhenhao Zhao
Minhong Zhu
Chen Wang
Sijia Wang
Jiqiang Zhang
Li Chen
Weiran Cai
69
0
0
12 Sep 2024
Scalable Multitask Learning Using Gradient-based Estimation of Task
  Affinity
Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity
Dongyue Li
Aneesh Sharma
Hongyang R. Zhang
143
3
0
09 Sep 2024
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
Yifan Jia
Yanbin Wang
Jianguo Sun
Yiwei Liu
Zhang Sheng
Ye Tian
210
5
0
09 Sep 2024
A Comprehensive Survey of Advanced Persistent Threat Attribution:
  Taxonomy, Methods, Challenges and Open Research Problems
A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems
Nanda Rani
Bikash Saha
Sandeep Kumar Shukla
62
5
0
07 Sep 2024
Simbanex: Similarity-based Exploration of IEEE VIS Publications
Simbanex: Similarity-based Exploration of IEEE VIS Publications
Daniel Witschard
Ilir Jusufi
Andreas Kerren
50
0
0
31 Aug 2024
Reproducibility Study Of Learning Fair Graph Representations Via
  Automated Data Augmentations
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations
Thijmen Nijdam
Juell Sprott
Taiki Papandreou-Lazos
Jurgen de Heus
65
0
0
31 Aug 2024
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
Zihao Li
Chao Yang
Yakun Chen
Xianzhi Wang
Hongxu Chen
Guandong Xu
Lina Yao
Quan Z. Sheng
GNN
47
10
0
27 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
92
1
0
26 Aug 2024
Disentangled Generative Graph Representation Learning
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
129
0
0
24 Aug 2024
Spatio-Temporal Road Traffic Prediction using Real-time Regional
  Knowledge
Spatio-Temporal Road Traffic Prediction using Real-time Regional Knowledge
Sumin Han
Jisun An
Dongman Lee
33
0
0
23 Aug 2024
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Xiaowei Mao
Yan Lin
Shengnan Guo
Yubin Chen
Xingyu Xian
Haomin Wen
Qisen Xu
Youfang Lin
Huaiyu Wan
130
1
0
23 Aug 2024
Modeling Reference-dependent Choices with Graph Neural Networks
Modeling Reference-dependent Choices with Graph Neural Networks
Liang Zhang
Guannan Liu
Junjie Wu
Yong Tan
HAI
62
0
0
21 Aug 2024
Structure-enhanced Contrastive Learning for Graph Clustering
Structure-enhanced Contrastive Learning for Graph Clustering
Xunlian Wu
Jingqi Hu
Anqi Zhang
Yining Quan
Qiguang Miao
Peng Gang Sun
128
0
0
19 Aug 2024
OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
Sevinj Teymurova
Ernesto Jiménez-Ruiz
Tillman Weyde
Jiaoyan Chen
130
1
0
12 Aug 2024
Urban Region Pre-training and Prompting: A Graph-based Approach
Urban Region Pre-training and Prompting: A Graph-based Approach
Jiahui Jin
Yifan Song
Dong Kan
Haojia Zhu
Xiangguo Sun
Zhicheng Li
Xigang Sun
Jinghui Zhang
AI4TSAI4CE
153
4
0
12 Aug 2024
A Structural Feature-Based Approach for Comprehensive Graph
  Classification
A Structural Feature-Based Approach for Comprehensive Graph Classification
Saiful Islam
M. Hasan
P. Khanra
85
2
0
10 Aug 2024
Detecting Masquerade Attacks in Controller Area Networks Using Graph
  Machine Learning
Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning
William Marfo
Pablo Moriano
Deepak K. Tosh
Shirley V. Moore
84
4
0
10 Aug 2024
Self-Supervised Contrastive Graph Clustering Network via Structural
  Information Fusion
Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
Xiaoyang Ji
Yuchen Zhou
Haofu Yang
Shiyue Xu
Jiahao Li
SSL
145
0
0
08 Aug 2024
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Random Walk Diffusion for Efficient Large-Scale Graph Generation
Tobias Bernecker
Ghalia Rehawi
Francesco Paolo Casale
Janine Knauer-Arloth
Annalisa Marsico
100
1
0
08 Aug 2024
Knowledge Probing for Graph Representation Learning
Knowledge Probing for Graph Representation Learning
Mingyu Zhao
Xingyu Huang
Ziyu Lyu
Yanlin Wang
Lixin Cui
Lu Bai
57
0
0
07 Aug 2024
SETN: Stock Embedding Enhanced with Textual and Network Information
SETN: Stock Embedding Enhanced with Textual and Network Information
Takehiro Takayanagi
Hiroki Sakaji
Kiyoshi Izumi
AIFin
154
2
0
06 Aug 2024
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network
  Embedding
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding
Longlong Lin
Yunfeng Yu
Zihao Wang
Zeli Wang
Yuying Zhao
Jin Zhao
Tao Jia
110
1
0
05 Aug 2024
Top K Enhanced Reinforcement Learning Attacks on Heterogeneous Graph
  Node Classification
Top K Enhanced Reinforcement Learning Attacks on Heterogeneous Graph Node Classification
Honglin Gao
Gaoxi Xiao
AAML
59
0
0
04 Aug 2024
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
Eren Olug
Kıymet Kaya
Resul Tugay
Sule Gunduz Oguducu
42
0
0
02 Aug 2024
What comes after transformers? -- A selective survey connecting ideas in
  deep learning
What comes after transformers? -- A selective survey connecting ideas in deep learning
Johannes Schneider
AI4CE
132
2
0
01 Aug 2024
CXSimulator: A User Behavior Simulation using LLM Embeddings for
  Web-Marketing Campaign Assessment
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment
Akira Kasuga
Ryo Yonetani
66
2
0
31 Jul 2024
A Vectorization Method Induced By Maximal Margin Classification For
  Persistent Diagrams
A Vectorization Method Induced By Maximal Margin Classification For Persistent Diagrams
An Wu
Yu Pan
Fuqi Zhou
Jinghui Yan
Chuanlu Liu
53
0
0
31 Jul 2024
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop
  Feature Quality Estimation
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
Shiyuan Li
Yixin Liu
Qingfeng Chen
Geoffrey I. Webb
Shirui Pan
SSL
104
6
0
29 Jul 2024
Contrastive Learning of Asset Embeddings from Financial Time Series
Contrastive Learning of Asset Embeddings from Financial Time Series
Rian Dolphin
Barry Smyth
Ruihai Dong
AI4TS
66
1
0
26 Jul 2024
Learning production functions for supply chains with graph neural networks
Learning production functions for supply chains with graph neural networks
Serina Chang
Zhiyin Lin
Benjamin Yan
Swapnil Bembde
Qi Xiu
...
Yu Qin
Frank Kloster
Alex Luo
Raj Palleti
J. Leskovec
GNNAI4TS
120
2
0
26 Jul 2024
Curriculum Negative Mining For Temporal Networks
Curriculum Negative Mining For Temporal Networks
Ziyue Chen
Tongya Zheng
Mingli Song
79
2
0
24 Jul 2024
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in
  Hyperbolic Space
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space
Zhangyu Wang
Lantian Xu
Zhifeng Kong
Weilong Wang
Xuyu Peng
Enyang Zheng
89
0
0
23 Jul 2024
Adaptive Differentially Private Structural Entropy Minimization for
  Unsupervised Social Event Detection
Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection
Zhiwei Yang
Yuecen Wei
Haoran Li
Qian Li
Lei Jiang
Li Sun
Xiaoyan Yu
Chunming Hu
Hao Peng
130
3
0
23 Jul 2024
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph
An Ad-hoc graph node vector embedding algorithm for general knowledge graphs using Kinetica-Graph
B. Karamete
Eli Glaser
165
0
0
22 Jul 2024
GraphScale: A Framework to Enable Machine Learning over Billion-node
  Graphs
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
Vipul Gupta
Xin Chen
Ruoyun Huang
Fanlong Meng
Jianjun Chen
Yujun Yan
GNN
81
2
0
22 Jul 2024
Deep Uncertainty-Based Explore for Index Construction and Retrieval in
  Recommendation System
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System
Xin Jiang
Kaiqiang Wang
Yinlong Wang
Fengchang Lv
Taiyang Peng
Shuai Yang
Xianteng Wu
Pengye Zhang
Shuo Yuan
Yifan Zeng
88
0
0
22 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and
  Self-Training
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yuqi Liu
Mengyu Li
Ximing Li
Lan Huang
Fausto Giunchiglia
Yanchun Liang
Xiaoyue Feng
Renchu Guan
SSL
102
4
0
20 Jul 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous
  Graph Representation Learning
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
Qiuyu Zhu
Liang Zhang
Qianxiong Xu
Kaijun Liu
Cheng Long
Xiaoyang Wang
89
1
0
18 Jul 2024
Temporal receptive field in dynamic graph learning: A comprehensive
  analysis
Temporal receptive field in dynamic graph learning: A comprehensive analysis
Yannis Karmim
Leshanshui Yang
Raphael Fournier SÑiehotta
Clément Chatelain
Sébastien Adam
Nicolas Thome
66
1
0
17 Jul 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Sophia Sanborn
Johan Mathe
Mathilde Papillon
Louisa Cornelis
Hansen Lillemark
...
Abby Bertics
Christian Shewmake
Fatih Dinc
Xavier Pennec
Nina Miolane
102
8
0
12 Jul 2024
Deep-Graph-Sprints: Accelerated Representation Learning in
  Continuous-Time Dynamic Graphs
Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
Ahmad Naser Eddin
Jacopo Bono
David Aparício
Hugo Ferreira
Pedro Ribeiro
P. Bizarro
GNN
79
0
0
10 Jul 2024
Modularity aided consistent attributed graph clustering via coarsening
Modularity aided consistent attributed graph clustering via coarsening
Samarth Bhatia
Yukti Makhija
Manoj Kumar
Sandeep Kumar
143
0
0
09 Jul 2024
Tile Compression and Embeddings for Multi-Label Classification in
  GeoLifeCLEF 2024
Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024
Anthony Miyaguchi
Patcharapong Aphiwetsa
Mark McDuffie
81
1
0
08 Jul 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CEGNN
166
2
0
03 Jul 2024
ITEM: Improving Training and Evaluation of Message-Passing based GNNs
  for top-k recommendation
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
Yannis Karmim
Elias Ramzi
Raphael Fournier SÑiehotta
Nicolas Thome
72
0
0
03 Jul 2024
Identification of Device Dependencies Using Link Prediction
Identification of Device Dependencies Using Link Prediction
Lukáš Sadlek
M. Husák
Pavel Čeleda
52
0
0
03 Jul 2024
Revisiting Random Walks for Learning on Graphs
Revisiting Random Walks for Learning on Graphs
Jinwoo Kim
Olga Zaghen
Ayhan Suleymanzade
Youngmin Ryou
Seunghoon Hong
203
1
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01 Jul 2024
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets
Jintai Chen
Yaojun Hu
Mingchen Cai
Yingzhou Lu
Yue Wang
...
Yuqiang Li
Lucas Glass
Tianfan Fu
Marinka Zitnik
Tianfan Fu
149
0
0
30 Jun 2024
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