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DeepWalk: Online Learning of Social Representations

DeepWalk: Online Learning of Social Representations

26 March 2014
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
    HAI
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Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,441 papers shown
Title
Convergence Guarantees for the DeepWalk Embedding on Block Models
Convergence Guarantees for the DeepWalk Embedding on Block Models
Christopher Harker
Aditya Bhaskara
23
0
0
26 Oct 2024
Perturbation-based Graph Active Learning for Weakly-Supervised Belief
  Representation Learning
Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning
Dachun Sun
Ruijie Wang
Jinning Li
Ruipeng Han
Xinyi Liu
You Lyu
Tarek F. Abdelzaher
34
0
0
24 Oct 2024
Gene-Metabolite Association Prediction with Interactive Knowledge
  Transfer Enhanced Graph for Metabolite Production
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production
Kexuan Xin
Q. Wang
Junyu Chen
Pengfei Yu
Huimin Zhao
Heng Ji
27
0
0
24 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
30
0
0
21 Oct 2024
Adversarial Training: A Survey
Adversarial Training: A Survey
Mengnan Zhao
Lihe Zhang
Jingwen Ye
Huchuan Lu
Baocai Yin
Xinchao Wang
AAML
35
1
0
19 Oct 2024
Federated Temporal Graph Clustering
Federated Temporal Graph Clustering
Yang Liu
Zhenhong Zhou
Xianghong Xu
Yue Liu
FedML
79
0
0
16 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without
  Positive Samples
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
Yuntao Shou
Xiangyong Cao
Deyu Meng
41
9
0
14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document
  Networks
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks
Changbo Wang
Xinyang Liu
Dongsheng Wang
Hao Zhang
Bo Chen
Mingyuan Zhou
BDL
37
0
0
13 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive
  Survey
Text Classification using Graph Convolutional Networks: A Comprehensive Survey
Syed Mustafa Haider Rizvi
Ramsha Imran
Arif Mahmood
GNN
OOD
FaML
26
0
0
12 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
Hao Yan
C. Li
Zhigang Yu
Jun Yin
Ruochen Liu
Peiyan Zhang
Weihao Han
Mingzheng Li
Zhengxin Zeng
36
0
0
11 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large
  Language Models
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Haoteng Yin
Rongzhe Wei
Eli Chien
P. Li
33
0
0
10 Oct 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
Bowen Jin
Ziqi Pang
Bingjun Guo
Yu-Xiong Wang
Jiaxuan You
Jiawei Han
DiffM
47
1
0
09 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks
  through LLM-Initiated Node Features
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
Gilchan Park
Paul Baity
Byung-Jun Yoon
Adolfy Hoisie
28
0
0
05 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning
TopER: Topological Embeddings in Graph Representation Learning
Astrit Tola
Funmilola Mary Taiwo
Cüneyt Gürcan Akçora
Baris Coskunuzer
33
0
0
02 Oct 2024
Simplifying complex machine learning by linearly separable network
  embedding spaces
Simplifying complex machine learning by linearly separable network embedding spaces
Alexandros Xenos
N. Malod-Dognin
Natasa Przulj
25
0
0
02 Oct 2024
TAVRNN: Temporal Attention-enhanced Variational Graph RNN Captures
  Neural Dynamics and Behavior
TAVRNN: Temporal Attention-enhanced Variational Graph RNN Captures Neural Dynamics and Behavior
M. Khajehnejad
Forough Habibollahi
Ahmad Khajehnejad
Brett J. Kagan
Adeel Razi
23
1
0
01 Oct 2024
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
Xin Sky Li
Weize Chen
Qizhi Chu
Haopeng Li
Zhaojun Sun
...
Yiwei Wei
Zhiyuan Liu
Chuan Shi
Maosong Sun
Cheng Yang
43
5
0
29 Sep 2024
Convolutional Signal Propagation: A Simple Scalable Algorithm for
  Hypergraphs
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs
Pavel Procházka
Marek Dědič
Lukáš Bajer
GNN
37
0
0
26 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN
  Training at Large Scale
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
Zeyu Zhu
Peisong Wang
Qinghao Hu
Gang Li
Xiaoyao Liang
Jian Cheng
GNN
34
1
0
23 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
26
1
0
22 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
35
0
0
19 Sep 2024
A Property Encoder for Graph Neural Networks
A Property Encoder for Graph Neural Networks
Anwar Said
W. Abbas
X. Koutsoukos
37
0
0
17 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
34
0
0
12 Sep 2024
Enhancing Cross-Market Recommendation System with Graph Isomorphism
  Networks: A Novel Approach to Personalized User Experience
Enhancing Cross-Market Recommendation System with Graph Isomorphism Networks: A Novel Approach to Personalized User Experience
Sumeyye Ozturk
Ahmed Burak Ercan
Resul Tugay
Şule Gündüz Öğüdücü
31
0
0
12 Sep 2024
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node
  Classifications
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
Ziming Zhao
Tiehua Zhang
Zijian Yi
Zhishu Shen
31
0
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
55
2
0
09 Sep 2024
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided
  Unsupervised Representation Learning
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
Zhixiang Shen
Zhao Kang
33
0
0
01 Sep 2024
RGDA-DDI: Residual graph attention network and dual-attention based
  framework for drug-drug interaction prediction
RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
Changjian Zhou
Xin Zhang
Jiafeng Li
Jia Song
Wensheng Xiang
28
0
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
41
0
0
26 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
37
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
27
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
49
20
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
47
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
41
2
0
10 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
38
1
0
08 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
43
0
0
08 Aug 2024
Deep Generative Models for Subgraph Prediction
Deep Generative Models for Subgraph Prediction
Erfaneh Mahmoudzadeh
Parmis Naddaf
Kiarash Zahirnia
Oliver Schulte
BDL
GNN
33
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
38
0
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
23
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
38
11
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
21
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
37
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
37
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
44
4
0
29 Jul 2024
Curriculum Negative Mining For Temporal Networks
Curriculum Negative Mining For Temporal Networks
Ziyue Chen
Tongya Zheng
Mingli Song
23
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
34
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
36
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
51
4
0
20 Jul 2024
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
HyperAggregation: Aggregating over Graph Edges with Hypernetworks
N. Lell
A. Scherp
GNN
44
0
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
32
0
0
16 Jul 2024
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