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DeepWalk: Online Learning of Social Representations
v1v2 (latest)

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
ArXiv (abs)PDFHTML

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,466 papers shown
Title
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
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
SA-GDA: Spectral Augmentation for Graph Domain Adaptation
Jinhui Pang
Zixuan Wang
Jiliang Tang
Mingyan Xiao
Nan Yin
OOD
115
22
0
17 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
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
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
Deep Generative Models for Subgraph Prediction
Deep Generative Models for Subgraph Prediction
Erfaneh Mahmoudzadeh
Parmis Naddaf
Kiarash Zahirnia
Oliver Schulte
BDLGNN
84
0
0
07 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
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
Contrastive Graph Representation Learning with Adversarial Cross-view
  Reconstruction and Information Bottleneck
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
Yuntao Shou
Haozhi Lan
Xiangyong Cao
109
12
0
01 Aug 2024
Review of Explainable Graph-Based Recommender Systems
Review of Explainable Graph-Based Recommender Systems
Thanet Markchom
Huizhi Liang
James Ferryman
XAI
117
0
0
31 Jul 2024
Measuring What Matters: Intrinsic Distance Preservation as a Robust
  Metric for Embedding Quality
Measuring What Matters: Intrinsic Distance Preservation as a Robust Metric for Embedding Quality
Steven N. Hart
R. Maulik
69
0
0
31 Jul 2024
Unveiling the Potential of Spiking Dynamics in Graph Representation
  Learning through Spatial-Temporal Normalization and Coding Strategies
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies
M. Xu
Huifeng Yin
Yujie Wu
Guoqi Li
Faqiang Liu
Jing Pei
Shuai Zhong
Lei Deng
75
0
0
30 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
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
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
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
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
N. Lell
A. Scherp
GNN
95
1
0
16 Jul 2024
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Accounting for Work Zone Disruptions in Traffic Flow Forecasting
Yuanjie Lu
Amarda Shehu
David Lattanzi
GNN
101
0
0
16 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
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
0
01 Jul 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for
  Graph Classification
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification
Tianjun Yao
Jiaqi Sun
Defu Cao
Kun Zhang
Guangyi Chen
85
5
0
28 Jun 2024
Federated Graph Semantic and Structural Learning
Federated Graph Semantic and Structural Learning
Wenke Huang
Guancheng Wan
Mang Ye
Bo Du
FedML
144
50
0
27 Jun 2024
Light-weight End-to-End Graph Interest Network for CTR Prediction in
  E-commerce Search
Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
Pipi Peng
Yunqing Jia
Ziqiang Zhou
murmurhash
Zichong Xiao
GNN
56
1
0
25 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal
  Graphs
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs
J. V. Pichowski
Vincenzo Perri
Lisi Qarkaxhija
Ingo Scholtes
80
0
0
24 Jun 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented
  Negative Sample Selection in Graph Contrastive Learning
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali
Jinlong Li
Huanhuan Chen
Ali Kashif Bashir
118
1
0
21 Jun 2024
A General Online Algorithm for Optimizing Complex Performance Metrics
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotłowski
Marek Wydmuch
Erik Schultheis
Rohit Babbar
Krzysztof Dembczyñski
105
1
0
20 Jun 2024
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over
  Graphs
A Benchmark Study of Deep-RL Methods for Maximum Coverage Problems over Graphs
Zhicheng Liang
Yifan Yang
Xiangyu Ke
Xiaokui Xiao
Yunjun Gao
145
0
0
20 Jun 2024
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers:
  Enhancing Graph Representation Learning for Refining Real-time Many-to-One
  Assignments
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments
Yile Liang
Jiuxia Zhao
Donghui Li
Jie Feng
Chen Zhang
Xuetao Ding
Jinghua Hao
Renqing He
81
1
0
20 Jun 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive
  Learning Perspective
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective
Yunfei Liu
Jintang Li
Yuehe Chen
Ruofan Wu
Ericbk Wang
...
Shuheng Shen
Xing Fu
Changhua Meng
Weiqiang Wang
Liang Chen
93
10
0
20 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs
A Pure Transformer Pretraining Framework on Text-attributed Graphs
Yu Song
Haitao Mao
Jiachen Xiao
Jingzhe Liu
Zhikai Chen
Wei Jin
Carl Yang
Jiliang Tang
Hui Liu
AI4CE
102
4
0
19 Jun 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite
  Graphs
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
Hewen Wang
Renchi Yang
Xiaokui Xiao
73
1
0
19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural
  Networks
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
Yaochu Jin
Xueming Yan
Shiqing Liu
Xiangyu Wang
141
3
0
19 Jun 2024
Learning Molecular Representation in a Cell
Learning Molecular Representation in a Cell
Gang Liu
Srijit Seal
John Arevalo
Zhenwen Liang
Anne E Carpenter
Meng Jiang
Shantanu Singh
128
4
0
17 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs
UniGLM: Training One Unified Language Model for Text-Attributed Graphs
Yi Fang
Dongzhe Fan
Sirui Ding
Ninghao Liu
Qiaoyu Tan
VLM
132
5
0
17 Jun 2024
Graph Knowledge Distillation to Mixture of Experts
Graph Knowledge Distillation to Mixture of Experts
Pavel Rumiantsev
Mark Coates
98
0
0
17 Jun 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits
  for Disease Subtyping based on EHR Data
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
Ziyang Zhang
Hejie Cui
Ran Xu
Yuzhang Xie
Joyce C. Ho
Carl Yang
CML
100
2
0
14 Jun 2024
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning
Bahare Fatemi
Mehran Kazemi
Anton Tsitsulin
Karishma Malkan
Jinyeong Yim
John Palowitch
Sungyong Seo
Jonathan J. Halcrow
Bryan Perozzi
LRM
114
39
0
13 Jun 2024
OLGA: One-cLass Graph Autoencoder
OLGA: One-cLass Graph Autoencoder
M. Gôlo
José Gilberto Barbosa de Medeiros Junior
Diego Furtado Silva
R. Marcacini
89
0
0
13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and
  Generalizability
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability
Pengyun Wang
Junyu Luo
Yanxin Shen
Siyu Heng
Xiao Luo
133
1
0
13 Jun 2024
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method
Qinghua Tao
F. Tonin
Alex Lambert
Yingyi Chen
Panagiotis Patrinos
Johan A. K. Suykens
122
2
0
13 Jun 2024
Political Leaning Inference through Plurinational Scenarios
Political Leaning Inference through Plurinational Scenarios
Joseba Fernandez de Landa
Rodrigo Agerri
62
1
0
12 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge
  Graphs
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Elika Bozorgi
Sakher Khalil Alqaiidi
Afsaneh Shams
H. Arabnia
Krzysztof Kochut
79
0
0
11 Jun 2024
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