DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,442 papers shown

Title
Graph Mining for Cybersecurity: A Survey Bo Yan Cheng Yang Chuan Shi Yong Fang Qi Li Yanfang Ye Junping Du 44 12 0 02 Apr 2023
Synergistic Graph Fusion via Encoder Embedding Cencheng Shen Carey E. Priebe Jonathan Larson Ha Trinh AI4CE 44 7 0 31 Mar 2023
Efficient distributed representations beyond negative sampling Lorenzo DallÁmico Enrico Belliardo 13 1 0 30 Mar 2023
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection Sihao Hu Zhen Zhang B. Luo Shengliang Lu Bingsheng He Ling Liu 36 40 0 29 Mar 2023
GRAF: Graph Attention-aware Fusion Networks Ziynet Nesibe Kesimoglu S. Bozdag GNN 30 4 0 29 Mar 2023
When to Pre-Train Graph Neural Networks? From Data Generation Perspective! Yu Cao Jiarong Xu Carl Yang Jiaan Wang Yunchao Zhang Chunping Wang Lei Chen Yang Yang 23 16 0 29 Mar 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 21 20 0 28 Mar 2023
A source separation approach to temporal graph modelling for computer networks Corentin Larroche 24 0 0 28 Mar 2023
Distributed Graph Embedding with Information-Oriented Random Walks Peng Fang Arijit Khan Siqiang Luo Fang Wang Dan Feng Zhenli Li Wei Yin Yu Cao GNN 20 11 0 28 Mar 2023
Temporal Egonet Subgraph Transitions Daniel Gonzalez Cedre Sophia Abraham Lucas Parzianello Eric Tsai 14 0 0 26 Mar 2023
Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases Hongyu Ren Mikhail Galkin Michael Cochez Zhaocheng Zhu J. Leskovec NAI GNN 43 35 0 26 Mar 2023
FairGAT: Fairness-aware Graph Attention Networks Öykü Deniz Köse Yanning Shen 30 9 0 26 Mar 2023
Structural Imbalance Aware Graph Augmentation Learning Zulong Liu Kejia Chen Zheng Liu 34 0 0 24 Mar 2023
Community detection in complex networks via node similarity, graph representation learning, and hierarchical clustering Lukasz Brzozowski Grzegorz Siudem M. Gagolewski 44 1 0 21 Mar 2023
Dynamic Healthcare Embeddings for Improving Patient Care Hankyu Jang Sulyun Lee D. M. H. Hasan P. Polgreen Sriram V. Pemmaraju Interdisciplinary Graduate Program in Informatics AI4TS 25 2 0 21 Mar 2023
Deep Author Name Disambiguation using DBLP Data Zeyd Boukhers Nagaraj Bahubali Asundi 11 2 0 17 Mar 2023
NESS: Node Embeddings from Static SubGraphs Talip Uçar 31 1 0 15 Mar 2023
Space-Invariant Projection in Streaming Network Embedding Yanwen Zhang Huiwen Wang Jichang Zhao 29 2 0 11 Mar 2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk Jiafu Wu Mufeng Yao Dong Wu M. Chi Baokun Wang Ruofan Wu Xin Fu Changhua Meng Weiqiang Wang 21 3 0 06 Mar 2023
Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo Zhixuan Chu Sheng Li FaML 38 18 0 25 Feb 2023
LaSER: Language-Specific Event Recommendation Sara Abdollahi Simon Gottschalk Elena Demidova 32 4 0 24 Feb 2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks Chao Hu Ruishi Yu Binqi Zeng Yu Zhan Ying Fu Quan Zhang Rongkai Liu Heyuan Shi AAML 17 7 0 24 Feb 2023
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning Bowen Cao Qichen Ye Weiyuan Xu Yuexian Zou 38 1 0 23 Feb 2023
Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations Tiexin Qin Benjamin Walker Terry Lyons Hongfei Yan Haoliang Li BDL AI4CE 24 3 0 22 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 53 56 0 22 Feb 2023
Link Prediction on Latent Heterogeneous Graphs Trung-Kien Nguyen Zemin Liu Yuan Fang 29 8 0 21 Feb 2023
Conformal Prediction for Network-Assisted Regression Robert Lunde Elizaveta Levina Ji Zhu 37 15 0 20 Feb 2023
Persian topic detection based on Human Word association and graph embedding Mehrdad Ranjbar-Khadivi Shahin Akbarpour M. Feizi-Derakhshi B. Anari 26 2 0 20 Feb 2023
Creating generalizable downstream graph models with random projections Anton Amirov Chris Quirk Jennifer Neville 24 1 0 17 Feb 2023
Modeling Polypharmacy and Predicting Drug-Drug Interactions using Deep Generative Models on Multimodal Graphs Nhat-Khang Ngô Truong-Son Hy Risi Kondor GNN BDL 18 1 0 17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 29 8 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 27 136 0 16 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 43 5 0 15 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 25 68 0 15 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 42 12 0 14 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 45 12 0 13 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 27 4 0 12 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 19 2 0 09 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 32 25 0 08 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 29 16 0 06 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 37 7 0 06 Feb 2023
A Pre-training Framework for Knowledge Graph Completion Kuan Xu Kuo Yang Hanyang Dong Xinyan Wang Jian Yu Xuezhong Zhou 18 0 0 06 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 35 24 0 04 Feb 2023
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction Davide Costa Lucio La Cava Andrea Tagarelli 32 22 0 03 Feb 2023
Causal Lifting and Link Prediction Leonardo Cotta Beatrice Bevilacqua Nesreen Ahmed Bruno Ribeiro CML 30 5 0 02 Feb 2023
Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang Hao-Ting Yang Muhan Zhang GNN LRM 34 48 0 02 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 29 9 0 31 Jan 2023
Causality-based CTR Prediction using Graph Neural Networks Panyu Zhai Yanwu Yang Chun-Hui Zhang CML GNN 34 33 0 30 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 28 3 0 29 Jan 2023