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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
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound
  Protein Interactions
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions
Li Zhang
Wenhao Li
Hao Guan
Zhiquan He
Min-Cai Cheng
Han Wang
44
0
0
15 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology
Explainable and Position-Aware Learning in Digital Pathology
Milan Aryal
Nasim Yahyasoltani
MedIm
67
0
0
14 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao
Uday Singh Saini
Yozen Liu
Tong Zhao
Neil Shah
Evangelos E. Papalexakis
SSLOOD
101
7
0
12 Jun 2023
Leveraging Skill-to-Skill Supervision for Knowledge Tracing
Leveraging Skill-to-Skill Supervision for Knowledge Tracing
Hyeondey Kim
Jinwoo Nam
Minjae Lee
Yun Jegal
Kyungwoo Song
43
0
0
12 Jun 2023
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale
  Malware Corpora
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora
R. Joyce
Tirth Patel
Charles K. Nicholas
Edward Raff
64
6
0
09 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug
  interactions prediction
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin
Lichang Dai
Yafang Zhou
Zunpeng Yu
Wen Zhang
...
Li Zeng
Hao-Heng Chen
Bosheng Song
Philip S. Yu
Xiangxiang Zeng
GNN
72
62
0
08 Jun 2023
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering
Meng Liu
K. Liang
Yue Liu
Siwei Wang
Sihang Zhou
Xinwang Liu
AI4CE
116
4
0
08 Jun 2023
Synthesizing realistic sand assemblies with denoising diffusion in
  latent space
Synthesizing realistic sand assemblies with denoising diffusion in latent space
Nikolaos N. Vlassis
WaiChing Sun
K. Alshibli
R. Regueiro
DiffM
65
6
0
07 Jun 2023
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A
  Graph Neural Network Trust Evaluation Approach
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach
Zhongwei Zhan
Yingjie Wang
Peiyong Duan
A. Sai
Zhaowei Liu
Chaocan Xiang
Xiangrong Tong
Weilong Wang
Z. Cai
93
4
0
07 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning
Randomized Schur Complement Views for Graph Contrastive Learning
Vignesh Kothapalli
133
2
0
06 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision,
  Language, and Graphs
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs
Zhiyong Yang
Tinglin Huang
Ming Ding
Yuxiao Dong
Rex Ying
Yukuo Cen
Yangli-ao Geng
Jie Tang
SSLVLM
96
9
0
06 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Amit Roy
Juan Shu
Jia Li
Carl Yang
Olivier Elshocht
Jeroen Smeets
P. Li
193
55
0
02 Jun 2023
Accelerating science with human-aware artificial intelligence
Accelerating science with human-aware artificial intelligence
J. Sourati
James A. Evans
69
47
0
02 Jun 2023
Revisiting Hate Speech Benchmarks: From Data Curation to System
  Deployment
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment
Atharva Kulkarni
Sarah Masud
Vikram Goyal
Tanmoy Chakraborty
84
10
0
01 Jun 2023
Semi-supervised Community Detection via Structural Similarity Metrics
Semi-supervised Community Detection via Structural Similarity Metrics
Yi-Huei Jiang
Tracy Ke
105
0
0
01 Jun 2023
Graph-Level Embedding for Time-Evolving Graphs
Graph-Level Embedding for Time-Evolving Graphs
Lili Wang
Chenghan Huang
Weicheng Ma
Xinyuan Cao
Soroush Vosoughi
AI4CE
53
1
0
01 Jun 2023
Who Would be Interested in Services? An Entity Graph Learning System for
  User Targeting
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting
Dan Yang
Binbin Hu
Xiaoyan Yang
Yue Shen
Qing Cui
Jinjie Gu
Guannan Zhang
81
4
0
30 May 2023
Dink-Net: Neural Clustering on Large Graphs
Dink-Net: Neural Clustering on Large Graphs
Yue Liu
K. Liang
Jun Xia
Sihang Zhou
Xihong Yang
Xinwang Liu
Stan Z. Li
GNN
171
55
0
28 May 2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
GIMM: InfoMin-Max for Automated Graph Contrastive Learning
Xin Xiong
Furao Shen
Xiangyu Wang
School of Materials Science
76
0
0
27 May 2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future
  Citation Prediction
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction
Hao Geng
Deqing Wang
Fuzhen Zhuang
Xuehua Ming
Chenguang Du
Ting Jiang
Haolong Guo
Rui Liu
124
11
0
27 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known
  Features
Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um
Jiwoong Park
Seulki Park
Hawook Jeong
DiffM
75
17
0
26 May 2023
Inductive detection of Influence Operations via Graph Learning
Inductive detection of Influence Operations via Graph Learning
N. Gabriel
David A. Broniatowski
N. Johnson
AI4CE
50
10
0
26 May 2023
NODDLE: Node2vec based deep learning model for link prediction
NODDLE: Node2vec based deep learning model for link prediction
Kazi Zainab Khanam
Aditya Singhal
Vijay K. Mago
109
3
0
25 May 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data
  Classification
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification
Gokul Bhusal
Ekaterina Merkurjev
Guo-Wei Wei
81
1
0
25 May 2023
Towards View-invariant and Accurate Loop Detection Based on Scene Graph
Towards View-invariant and Accurate Loop Detection Based on Scene Graph
Chuhao Liu
Shaojie Shen
60
5
0
24 May 2023
Continual Learning on Dynamic Graphs via Parameter Isolation
Continual Learning on Dynamic Graphs via Parameter Isolation
Peiyan Zhang
Yuchen Yan
Chaozhuo Li
Senzhang Wang
Xing Xie
Guojie Song
Sunghun Kim
119
40
0
23 May 2023
Link Prediction without Graph Neural Networks
Link Prediction without Graph Neural Networks
Zexi Huang
Mert Kosan
A. Silva
Ambuj K. Singh
116
3
0
23 May 2023
Instant Representation Learning for Recommendation over Large Dynamic
  Graphs
Instant Representation Learning for Recommendation over Large Dynamic Graphs
Cheng Wu
Chao-Hong Wang
Jingcao Xu
Ziwei Fang
Tiankai Gu
Changping Wang
Yang Song
Kai Zheng
Xiaowei Wang
Guorui Zhou
AI4TS
79
6
0
22 May 2023
Crosslingual Transfer Learning for Low-Resource Languages Based on
  Multilingual Colexification Graphs
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
Yihong Liu
Haotian Ye
Leonie Weissweiler
Renhao Pei
Hinrich Schütze
95
11
0
22 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis
Yi Yang
Hejie Cui
Carl Yang
104
19
0
20 May 2023
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks
  Based on Multi-Graph Fusion
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
Mingli Xu
Jing Zhang
75
3
0
20 May 2023
Learning Continually on a Sequence of Graphs -- The Dynamical System Way
Learning Continually on a Sequence of Graphs -- The Dynamical System Way
Krishnan Raghavan
Prasanna Balaprakash
87
0
0
19 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity
GraphFC: Customs Fraud Detection with Label Scarcity
Karandeep Singh
Yu-Che Tsai
Cheng-Te Li
Meeyoung Cha
Shou-de Lin
60
7
0
19 May 2023
Deep Temporal Graph Clustering
Deep Temporal Graph Clustering
Meng Liu
Yue Liu
K. Liang
Wenxuan Tu
Siwei Wang
Sihang Zhou
Xinwang Liu
138
49
0
18 May 2023
A Signed Subgraph Encoding Approach via Linear Optimization for Link
  Sign Prediction
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction
Zhihong Fang
Shaolin Tan
Yaonan Wang
38
2
0
17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
FedML
81
4
0
16 May 2023
Enhancing Keyphrase Extraction from Long Scientific Documents using
  Graph Embeddings
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings
Roberto Martínez-Cruz
Debanjan Mahata
Alvaro J. López-López
J. Portela
139
4
0
16 May 2023
Decoupled Graph Neural Networks for Large Dynamic Graphs
Decoupled Graph Neural Networks for Large Dynamic Graphs
Yanping Zheng
Zhewei Wei
Jiajun Liu
GNNBDLAI4TSAI4CE
63
14
0
14 May 2023
Tight and fast generalization error bound of graph embedding in metric
  space
Tight and fast generalization error bound of graph embedding in metric space
Atsushi Suzuki
Atsushi Nitanda
Taiji Suzuki
Jing Wang
Feng Tian
Kenji Yamanishi
57
1
0
13 May 2023
Fisher Information Embedding for Node and Graph Learning
Fisher Information Embedding for Node and Graph Learning
Dexiong Chen
Paolo Pellizzoni
Karsten Borgwardt
GNN
77
2
0
12 May 2023
Semantic Random Walk for Graph Representation Learning in Attributed
  Graphs
Semantic Random Walk for Graph Representation Learning in Attributed Graphs
Meng Qin
41
1
0
11 May 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster
  Analysis and Inference
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference
Joshua Agterberg
Joshua Cape
82
1
0
10 May 2023
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
Han Chen
Zi-qiang Zhao
Yuhua Li
Yixiong Zou
Rui Li
Rui Zhang
79
14
0
08 May 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive
  Learning
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning
Junran Wu
Xueyuan Chen
Bowen Shi
Shangzhe Li
Ke Xu
73
8
0
08 May 2023
Automated Spatio-Temporal Graph Contrastive Learning
Automated Spatio-Temporal Graph Contrastive Learning
Qianru Zhang
Chao Huang
Lianghao Xia
Zheng Wang
Zhonghang Li
Siu-keung Yiu
AI4TS
57
51
0
06 May 2023
Zoo Guide to Network Embedding
Zoo Guide to Network Embedding
Anthony Baptista
Rubén J. Sánchez-García
A. Baudot
Ginestra Bianconi
GNN
95
7
0
05 May 2023
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks
  using Encoder Embedding and Vertex Dynamics
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics
Cencheng Shen
Jonathan Larson
Ha Trinh
Xihan Qin
V. Prisacariu
Carey E. Priebe
93
8
0
03 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban
  Spatial-Temporal Prediction
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction
Jiawei Jiang
Chengkai Han
Wenjun Jiang
Wayne Xin Zhao
Jingyuan Wang
AI4TSAI4CE
162
9
0
27 Apr 2023
highway2vec -- representing OpenStreetMap microregions with respect to
  their road network characteristics
highway2vec -- representing OpenStreetMap microregions with respect to their road network characteristics
Kacper Le'sniara
Piotr Szymañski
47
2
0
26 Apr 2023
Connector 0.5: A unified framework for graph representation learning
Connector 0.5: A unified framework for graph representation learning
Thanh Sang Nguyen
Jooho Lee
Van Thuy Hoang
O-Joun Lee
3DV
37
4
0
25 Apr 2023
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