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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
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
Zhihan Zheng
Haitao Yuan
Minxiao Chen
Shangguang Wang
AI4TS
131
2
0
28 Jan 2025
Principal Graph Encoder Embedding and Principal Community Detection
Principal Graph Encoder Embedding and Principal Community Detection
Cencheng Shen
Yuexiao Dong
Carey E. Priebe
Jonathan Larson
Ha Trinh
Youngser Park
154
1
0
24 Jan 2025
Learning Graph Node Embeddings by Smooth Pair Sampling
Learning Graph Node Embeddings by Smooth Pair Sampling
Konstantin Kutzkov
83
0
0
22 Jan 2025
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration
CAND: Cross-Domain Ambiguity Inference for Early Detecting Nuanced Illness Deterioration
Lo Pang-Yun Ting
Zhen Tan
Hong-Pei Chen
Cheng-Te Li
Po-Lin Chen
Kun-Ta Chuang
Huan Liu
94
0
0
22 Jan 2025
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
Junliang Luo
Xue Liu
74
0
0
21 Jan 2025
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
He Yu
Qingbin Liu
102
0
0
21 Jan 2025
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
Eugenio Borzone
Leandro Di Persia
Matias Gerard
SSL
145
0
0
21 Jan 2025
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
Graph Neural Networks for Travel Distance Estimation and Route Recommendation Under Probabilistic Hazards
Tong Liu
Hadi Meidani
GNN
148
1
0
20 Jan 2025
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation
Wei Chen
Guo Ye
Yakun Wang
Zhao Zhang
Libang Zhang
Daxin Wang
Qing Cui
Fuzhen Zhuang
248
2
0
17 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
99
1
0
17 Jan 2025
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
CureGraph: Contrastive Multi-Modal Graph Representation Learning for Urban Living Circle Health Profiling and Prediction
Jinlin Li
Xiao Zhou
182
0
0
13 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport
Yuqi Liu
Fausto Giunchiglia
Ximing Li
Lan Huang
Xiaoyue Feng
Renchu Guan
OffRL
384
0
0
10 Jan 2025
CDC: A Simple Framework for Complex Data Clustering
CDC: A Simple Framework for Complex Data Clustering
Zhao Kang
Xuanting Xie
Bingheng Li
Erlin Pan
153
12
0
10 Jan 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
Sen Zhang
Qingqing Ye
Haibo Hu
102
0
0
08 Jan 2025
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
Shengming Zhang
Le Zhang
Jingbo Zhou
Hui Xiong
75
0
0
06 Jan 2025
MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
Ronghui Xu
Hanyin Cheng
Chenjuan Guo
Hongfan Gao
Jiaxi Hu
Sean Bin Yang
Bin Yang
202
5
0
03 Jan 2025
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
Abdullah Alchihabi
Yuhong Guo
DiffM
95
0
0
03 Jan 2025
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
Tiehua Zhang
Yuze Liu
Zhishu Shen
Xingjun Ma
Xin Chen
Xiaowei Huang
Jun-Jian Yin
140
8
0
31 Dec 2024
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
154
6
0
31 Dec 2024
Introduction to Graph Neural Networks: A Starting Point for Machine
  Learning Engineers
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers
James H. Tanis
Chris Giannella
Adrian V. Mariano
AI4CEGNNFaMLPINN
133
0
0
27 Dec 2024
Context-Aware Deep Learning for Multi Modal Depression Detection
Context-Aware Deep Learning for Multi Modal Depression Detection
Genevieve Lam
Huang Dongyan
Weisi Lin
85
0
0
26 Dec 2024
Effective and Lightweight Representation Learning for Link Sign
  Prediction in Signed Bipartite Graphs
Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs
Gyeongmin Gu
Minseo Jeon
Hyun-Je Song
Jinhong Jung
180
0
0
25 Dec 2024
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
Jiawen Qin
Pengfeng Huang
Qingyun Sun
Cheng Ji
Xingcheng Fu
Jianxin Li
84
0
0
23 Dec 2024
APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge
  Graphs
APEX2^22: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
Zihao Li
Dongqi Fu
Mengting Ai
Jingrui He
101
9
0
23 Dec 2024
A Generalizable Anomaly Detection Method in Dynamic Graphs
A Generalizable Anomaly Detection Method in Dynamic Graphs
Xiao Yang
Xuejiao Zhao
Zhiqi Shen
166
1
0
21 Dec 2024
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced
  Data Classification
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data Classification
Zahiriddin Rustamov
Abderrahmane Lakas
Nazar Zaki
140
0
0
20 Dec 2024
Hypergraph clustering using Ricci curvature: an edge transport
  perspective
Hypergraph clustering using Ricci curvature: an edge transport perspective
Olympio Hacquard
111
1
0
20 Dec 2024
A Deep Probabilistic Framework for Continuous Time Dynamic Graph
  Generation
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Ryien Hosseini
F. Simini
V. Vishwanath
Henry Hoffmann
AI4CE
137
0
0
20 Dec 2024
Two Layer Walk: A Community-Aware Graph Embedding
Two Layer Walk: A Community-Aware Graph Embedding
He Yu
Qingbin Liu
103
0
0
17 Dec 2024
GNN Applied to Ego-nets for Friend Suggestions
GNN Applied to Ego-nets for Friend Suggestions
Evgeny Zamyatin
GNN
141
0
0
16 Dec 2024
Representation learning of dynamic networks
Representation learning of dynamic networks
Haixu Wang
Jiguo Cao
Jian Pei
89
0
0
15 Dec 2024
Unsupervised Named Entity Disambiguation for Low Resource Domains
Unsupervised Named Entity Disambiguation for Low Resource Domains
Debarghya Datta
Soumajit Pramanik
142
0
0
13 Dec 2024
Graph Similarity Computation via Interpretable Neural Node Alignment
Graph Similarity Computation via Interpretable Neural Node Alignment
Jingjing Wang
Hongjie Zhu
H. Xie
F. Wang
Xiaoliang Xu
Yuxiang Wang
139
0
0
13 Dec 2024
Adapting Unsigned Graph Neural Networks for Signed Graphs: A Few-Shot
  Prompt Tuning Approach
Adapting Unsigned Graph Neural Networks for Signed Graphs: A Few-Shot Prompt Tuning Approach
Zian Zhai
Sima Qing
Xiaoyang Wang
Wenjie Zhang
122
0
0
11 Dec 2024
From communities to interpretable network and word embedding: an unified
  approach
From communities to interpretable network and word embedding: an unified approach
Thibault Prouteau
Nicolas Dugué
Simon Guillot
GNN
117
1
0
11 Dec 2024
Multi-Scale Node Embeddings for Graph Modeling and Generation
Multi-Scale Node Embeddings for Graph Modeling and Generation
Riccardo Milocco
Fabian Jansen
Diego Garlaschelli
122
0
0
05 Dec 2024
GETAE: Graph information Enhanced deep neural NeTwork ensemble
  ArchitecturE for fake news detection
GETAE: Graph information Enhanced deep neural NeTwork ensemble ArchitecturE for fake news detection
Ciprian-Octavian Truică
Elena Simona Apostol
Marius Marogel
Adrian Paschke
GNN
123
0
0
02 Dec 2024
Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
João Mattos
Zexi Huang
Mert Kosan
Ambuj Singh
A. Silva
170
1
0
29 Nov 2024
ContextGNN: Beyond Two-Tower Recommendation Systems
ContextGNN: Beyond Two-Tower Recommendation Systems
Yiwen Yuan
Zecheng Zhang
Xinwei He
Akihiro Nitta
Weihua Hu
...
Blaž Stojanovič
Alan Krumholz
J. E. Lenssen
J. Leskovec
Matthias Fey
112
8
0
29 Nov 2024
Perturbation Ontology based Graph Attention Networks
Perturbation Ontology based Graph Attention Networks
Yansen Wang
Jiadong Wang
F. Wang
Xianrui Li
Hao Yin
Bhiksha Raj
104
1
0
27 Nov 2024
Instance-Aware Graph Prompt Learning
Instance-Aware Graph Prompt Learning
Jiazheng Li
Jundong Li
Chuxu Zhang
VLM
133
4
0
26 Nov 2024
Local Intrinsic Dimensionality for Dynamic Graph Embeddings
Local Intrinsic Dimensionality for Dynamic Graph Embeddings
Dušica Knežević
Miloš Savić
Miloš Radovanović
129
1
0
25 Nov 2024
LLM Online Spatial-temporal Signal Reconstruction Under Noise
LLM Online Spatial-temporal Signal Reconstruction Under Noise
Yi Yan
Dayu Qin
E. Kuruoglu
127
1
0
24 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models
Ali Behrouz
Ali Parviz
Mahdi Karami
Clayton Sanford
Bryan Perozzi
Vahab Mirrokni
157
3
0
23 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with
  Top-m Attention Mechanism for Graph Representation Learning
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning
Jiawei E
Yinglong Zhang
Xuewen Xia
Xing Xu
118
0
0
23 Nov 2024
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep
  Learning
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning
Yunlei Liang
Jiawei Zhu
Wen-Gui Ye
Song Gao
GNN
113
4
0
23 Nov 2024
Grid and Road Expressions Are Complementary for Trajectory
  Representation Learning
Grid and Road Expressions Are Complementary for Trajectory Representation Learning
Silin Zhou
Shuo Shang
Lisi Chen
Peng Han
Christian S. Jensen
96
2
0
22 Nov 2024
Graph Neural Networks on Graph Databases
Dmytro Lopushanskyy
Borun Shi
GNN
124
1
0
18 Nov 2024
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding
Quang P.M. Pham
Khoi T.N. Nguyen
Lan C. Ngo
Dezhen Song
Truong Do
Truong-Son Hy
3DPC
143
2
0
15 Nov 2024
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge
  Bases and Dual Decoders
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders
Xiaofeng Zhu
Jaya Krishna Mandivarapu
HILM
176
0
0
12 Nov 2024
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