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node2vec: Scalable Feature Learning for Networks

node2vec: Scalable Feature Learning for Networks

3 July 2016
Aditya Grover
J. Leskovec
ArXivPDFHTML

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,032 papers shown
Title
Few-shot Learning for Cross-Target Stance Detection by Aggregating
  Multimodal Embeddings
Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings
Parisa Jamadi Khiabani
A. Zubiaga
34
10
0
11 Jan 2023
A Meta Path-based Approach for Rumor Detection on Social Media
A Meta Path-based Approach for Rumor Detection on Social Media
Bita Azarijoo
Mostafa Salehi
S. Najari
19
1
0
11 Jan 2023
Trace Encoding in Process Mining: a survey and benchmarking
Trace Encoding in Process Mining: a survey and benchmarking
Sylvio Barbon Junior
Paolo Ceravolo
R. Oyamada
G. Tavares
AI4TS
31
20
0
05 Jan 2023
Generative Graph Neural Networks for Link Prediction
Generative Graph Neural Networks for Link Prediction
Xingping Xian
Tao Wu
Xiaoke Ma
Shaojie Qiao
Yabin Shao
Chao Wang
Lin Yuan
Yuehua Wu
AI4CE
32
4
0
31 Dec 2022
Cross Version Defect Prediction with Class Dependency Embeddings
Cross Version Defect Prediction with Class Dependency Embeddings
Moti Cohen
Lior Rokach
Rami Puzis
6
1
0
29 Dec 2022
On the Geometry of Reinforcement Learning in Continuous State and Action
  Spaces
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
Saket Tiwari
Omer Gottesman
George Konidaris
29
0
0
29 Dec 2022
Customizing Knowledge Graph Embedding to Improve Clinical Study
  Recommendation
Customizing Knowledge Graph Embedding to Improve Clinical Study Recommendation
Xiong Liu
I. Khalil
M. Devarakonda
13
1
0
28 Dec 2022
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent
  Node Embeddings
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings
Ryan Aponte
Ryan A. Rossi
Shunan Guo
Jane Hoffswell
Nedim Lipka
Chang Xiao
G. Chan
E. Koh
Nesreen Ahmed
GNN
40
11
0
28 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network
PersonaSAGE: A Multi-Persona Graph Neural Network
G. Choudhary
I. Burhanuddin
Eunyee Koh
F. Du
Ryan A. Rossi
35
0
0
28 Dec 2022
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
34
8
0
20 Dec 2022
Resource-Interaction Graph: Efficient Graph Representation for Anomaly
  Detection
Resource-Interaction Graph: Efficient Graph Representation for Anomaly Detection
James Pope
Jinyuan Liang
Vijay S. Kumar
Francesco Raimondo
Xinyi Sun
...
Ioannis Mavromatis
Adrián Sánchez-Mompó
P. Carnelli
Theodoros Spyridopoulos
UK InnovationLaboratory
21
1
0
16 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs
Coarse-to-Fine Contrastive Learning on Graphs
Peiyao Zhao
Yuangang Pan
Xin Li
Xu Chen
Ivor W. Tsang
L. Liao
SSL
42
5
0
13 Dec 2022
Understanding Online Migration Decisions Following the Banning of
  Radical Communities
Understanding Online Migration Decisions Following the Banning of Radical Communities
Giuseppe Russo
Manoel Horta Ribeiro
Giona Casiraghi
Luca Verginer
35
25
0
09 Dec 2022
Dynamic Graph Node Classification via Time Augmentation
Dynamic Graph Node Classification via Time Augmentation
Jiarui Sun
Mengting Gu
Chin-Chia Michael Yeh
Yujie Fan
Girish Chowdhary
Wei Zhang
26
1
0
07 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
50
87
0
02 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks
Hierarchical Model Selection for Graph Neural Netoworks
Yuga Oishi
Ken Kaneiwa
28
0
0
01 Dec 2022
Symphony in the Latent Space: Provably Integrating High-dimensional
  Techniques with Non-linear Machine Learning Models
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
Qiong Wu
Jian Li
Zhenming Liu
Jun Luo
Mihai Cucuringu
36
4
0
01 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional
  Networks
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Wentai Zhang
Joe Joseph
Yueyan Yin
Liuyue Xie
T. Furuhata
Soji Yamakawa
Kenji Shimada
L. Kara
40
12
0
01 Dec 2022
Scalable Pathogen Detection from Next Generation DNA Sequencing with
  Deep Learning
Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning
S. Narayanan
Sathyanarayanan N. Aakur
Priyadharsini Ramamurthy
A. Bagavathi
V. Ramnath
A. Ramachandran
24
0
0
30 Nov 2022
Improved Representation of Asymmetrical Distances with Interval
  Quasimetric Embeddings
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings
Tongzhou Wang
Phillip Isola
29
8
0
28 Nov 2022
Two Is Better Than One: Dual Embeddings for Complementary Product
  Recommendations
Two Is Better Than One: Dual Embeddings for Complementary Product Recommendations
Giorgi Kvernadze
P. A. Sudyanti
N. Subedi
Mohammadtaghi Hajiaghayi
28
2
0
28 Nov 2022
Beyond 1-WL with Local Ego-Network Encodings
Beyond 1-WL with Local Ego-Network Encodings
Nurudin Alvarez-Gonzalez
Andreas Kaltenbrunner
Vicencc Gómez
38
5
0
27 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaML
AI4TS
38
6
0
27 Nov 2022
RNTrajRec: Road Network Enhanced Trajectory Recovery with
  Spatial-Temporal Transformer
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
Yuqi Chen
Hanyuan Zhang
Weiwei Sun
B. Zheng
36
39
0
23 Nov 2022
Predicting Biomedical Interactions with Probabilistic Model Selection
  for Graph Neural Networks
Predicting Biomedical Interactions with Probabilistic Model Selection for Graph Neural Networks
K. Kishan
Rui Li
Paribesh Regmi
Anne R. Haake
19
1
0
22 Nov 2022
RAILD: Towards Leveraging Relation Features for Inductive Link
  Prediction In Knowledge Graphs
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
Genet Asefa Gesese
Harald Sack
Mehwish Alam
33
22
0
21 Nov 2022
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network
  Model
Evaluating COVID-19 Sequence Data Using Nearest-Neighbors Based Network Model
Sarwan Ali
24
5
0
19 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed
  Graphs
Recommending Related Products Using Graph Neural Networks in Directed Graphs
Srinivas Virinchi
Anoop Saladi
Abhirup Mondal
30
7
0
18 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
19
40
0
17 Nov 2022
Influencer Detection with Dynamic Graph Neural Networks
Influencer Detection with Dynamic Graph Neural Networks
Elena Tiukhova
Emiliano Penaloza
María Óskarsdóttir
Hernán García
Alejandro Correa-Bahnsen
Bart Baesens
M. Snoeck
Cristián Bravo
GNN
33
5
0
15 Nov 2022
Significant Ties Graph Neural Networks for Continuous-Time Temporal
  Networks Modeling
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling
Jiayun Wu
Tao Jia
Yansong Wang
Li Tao
6
2
0
12 Nov 2022
Total Variation Graph Neural Networks
Total Variation Graph Neural Networks
Jonas Hansen
F. Bianchi
33
12
0
11 Nov 2022
MGTCOM: Community Detection in Multimodal Graphs
MGTCOM: Community Detection in Multimodal Graphs
E. Dmitriev
M. Chekol
S. Wang
25
0
0
10 Nov 2022
GREENER: Graph Neural Networks for News Media Profiling
GREENER: Graph Neural Networks for News Media Profiling
P. Panayotov
Utsav Shukla
Husrev Taha Sencar
Mohamed Nabeel
Preslav Nakov
18
17
0
10 Nov 2022
A Survey on Influence Maximization: From an ML-Based Combinatorial
  Optimization
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization
Yandi Li
Haobo Gao
Yunxuan Gao
Jianxiong Guo
Weili Wu
27
38
0
06 Nov 2022
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph
  Neural Networks
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Ryien Hosseini
F. Simini
Austin R. Clyde
A. Ramanathan
26
5
0
04 Nov 2022
Rethinking the positive role of cluster structure in complex networks
  for link prediction tasks
Rethinking the positive role of cluster structure in complex networks for link prediction tasks
Shan-Shan Zhang
Wenjiao Zhang
Zhan Bu
24
0
0
04 Nov 2022
Relating graph auto-encoders to linear models
Relating graph auto-encoders to linear models
Solveig Klepper
U. V. Luxburg
25
1
0
03 Nov 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese
RoChBert: Towards Robust BERT Fine-tuning for Chinese
Zihan Zhang
Jinfeng Li
Ning Shi
Bo Yuan
Xiangyu Liu
Rong Zhang
Hui Xue
Donghong Sun
Chao Zhang
AAML
34
4
0
28 Oct 2022
Leveraging knowledge graphs to update scientific word embeddings using
  latent semantic imputation
Leveraging knowledge graphs to update scientific word embeddings using latent semantic imputation
J. Hoelscher-Obermaier
Edward Stevinson
V. Stauber
Ivaylo Zhelev
Victor Botev
R. Wu
J. Minton
19
0
0
27 Oct 2022
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
30
1
0
27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks
Weihua Hu
Kaidi Cao
Kexin Huang
E-Wen Huang
Karthik Subbian
Kenji Kawaguchi
J. Leskovec
41
0
0
26 Oct 2022
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance
  Clustering
HyperEF: Spectral Hypergraph Coarsening by Effective-Resistance Clustering
Ali Aghdaei
Zhuo Feng
30
8
0
26 Oct 2022
Learning Individual Treatment Effects under Heterogeneous Interference
  in Networks
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
Ziyu Zhao
Yuqi Bai
Kun Kuang
Ruoxuan Xiong
Fei Wu
CML
26
6
0
25 Oct 2022
Line Graph Contrastive Learning for Link Prediction
Line Graph Contrastive Learning for Link Prediction
Zehua Zhang
Shilin Sun
Guixiang Ma
Caiming Zhong
17
27
0
25 Oct 2022
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks
  via Motifs
Motif-Backdoor: Rethinking the Backdoor Attack on Graph Neural Networks via Motifs
Haibin Zheng
Haiyang Xiong
Jinyin Chen
Hao-Shang Ma
Guohan Huang
49
28
0
25 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
36
30
0
21 Oct 2022
Generalized Reciprocal Perspective
Generalized Reciprocal Perspective
Kevin Dick
Daniel G. Kyrollos
J.R. Green
31
0
0
20 Oct 2022
Low-Rank Representations Towards Classification Problem of Complex
  Networks
Low-Rank Representations Towards Classification Problem of Complex Networks
Murat Çelik
Ali Baran Tasdemir
Lale Özkahya
GNN
21
0
0
20 Oct 2022
Maximum Common Subgraph Guided Graph Retrieval: Late and Early
  Interaction Networks
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy
Soumen Chakrabarti
A. De
GNN
35
5
0
20 Oct 2022
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