v1v2 (latest)

DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

50 / 2,466 papers shown

Title
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng Philip Yu 103 18 0 02 Jan 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 64 1 0 28 Dec 2023
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding K. Abdous Nairouz Mrabah Mohamed Bouguessa 77 4 0 28 Dec 2023
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 87 10 0 28 Dec 2023
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 77 1 0 28 Dec 2023
RDF-star2Vec: RDF-star Graph Embeddings for Data Mining S. Egami Takanori Ugai Masateru Oota Kyoumoto Matsushita Takahiro Kawamura Kouji Kozaki Ken Fukuda 3DV 86 3 0 25 Dec 2023
Learning Rich Rankings Arjun Seshadri Stephen Ragain J. Ugander 85 13 0 22 Dec 2023
Continuous-time Graph Representation with Sequential Survival Process Abdulkadir Çelikkanat Nikolaos Nakis Morten Morup 33 2 0 20 Dec 2023
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization Aritra Bhowmick Mert Kosan Zexi Huang Ambuj K. Singh Sourav Medya 72 18 0 20 Dec 2023
Topo-MLP : A Simplicial Network Without Message Passing Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz Mustafa Hajij 90 8 0 19 Dec 2023
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity Zhihao Zhu Chenwang Wu Rui Fan Yi Yang Defu Lian Enhong Chen AAML 68 0 0 18 Dec 2023
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems Thomas Randall Tyler N. Allen Rong Ge VLM 26 0 0 12 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 75 0 0 12 Dec 2023
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum Fan Xu Nan Wang Hao Wu Xuezhi Wen Xibin Zhao Hai Wan 86 27 0 11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and Future Directions Zhaoxuan Tan Meng Jiang 123 12 0 11 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 67 0 0 08 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 113 2 0 08 Dec 2023
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure Anton Tsitsulin Bryan Perozzi 66 6 0 08 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 68 1 0 06 Dec 2023
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection Haoyu Jiang Haiyang Yu Nan Li Ping Yi 93 0 0 04 Dec 2023
Normed Spaces for Graph Embedding Diaaeldin Taha Wei Zhao J. M. Riestenberg Michael Strube 106 1 0 03 Dec 2023
A Review of Link Prediction Applications in Network Biology Ahmad F. Al Musawi Satyaki Roy Preetam Ghosh 52 2 0 03 Dec 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 90 2 0 29 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 122 58 0 28 Nov 2023
A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation Jinyu Miao Yunlong Wang Tuopu Wen Yunlong Wang Peijing Jia ... Qian Cheng Zhongyang Xiao Jin Huang Zhihua Zhong Diange Yang 144 9 0 27 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 127 31 0 26 Nov 2023
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning Yaqing Wang Zaifei Yang Quanming Yao 73 22 0 25 Nov 2023
A latent linear model for nonlinear coupled oscillators on graphs Agam Goyal Zhaoxing Wu Richard P. Yim Binhao Chen Zihong Xu Hanbaek Lyu 76 0 0 25 Nov 2023
HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding Peng Xia Xingtong Yu Ming Hu Lie Ju Zhiyong Wang Peibo Duan Zongyuan Ge VLM 140 13 0 23 Nov 2023
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss Abdelfateh Bekkair Slimane Bellaouar Slimane Oulad-Naoui 26 1 0 21 Nov 2023
Content Augmented Graph Neural Networks Fatemeh Gholamzadeh Nasrabadi AmirHossein Kashani Pegah Zahedi M. H. Chehreghani 83 3 0 21 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 75 1 0 20 Nov 2023
DSCom: A Data-Driven Self-Adaptive Community-Based Framework for Influence Maximization in Social Networks Yuxin Zuo Haojia Sun Yongyi Hu Jianxiong Guo Xiaofeng Gao 58 1 0 18 Nov 2023
Fused Breadth-First Probabilistic Traversals on Distributed GPU Systems Reece Neff Mostafa Eghbali Zarch Marco Minutoli M. Halappanavar Antonino Tumeo Anantharaman Kalyanaraman Michela Becchi 49 0 0 16 Nov 2023
ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering Zecheng Yin 70 0 0 13 Nov 2023
Untargeted Black-box Attacks for Social Recommendations Wenqi Fan Shijie Wang Xiao Wei Xiaowei Mei Qing Li MLAU AAML 81 2 0 13 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 142 14 0 13 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 58 0 0 10 Nov 2023
HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks Shu Liu Cameron Lai F. Toriumi GNN 44 2 0 07 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 66 10 0 07 Nov 2023
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos Siddhant Bansal Chetan Arora C. V. Jawahar 125 6 0 06 Nov 2023
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness Zeyuan Zhao Qingqing Ge Anfeng Cheng Yiding Liu Xiang Li Shuaiqiang Wang 56 0 0 06 Nov 2023
Edge2Node: Reducing Edge Prediction to Node Classification Zahed Rahmati 32 0 0 06 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 119 15 0 02 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 74 8 0 01 Nov 2023
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis Abhinav Nippani Dongyue Li Haotian Ju Haris N. Koutsopoulos Hongyang R. Zhang GNN 138 8 0 31 Oct 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 92 36 0 29 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou D. Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 110 12 0 28 Oct 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs Shiqi Lou Qingyue Zhang Shujie Yang Yuyang Tian Zhaoxuan Tan Minnan Luo 72 3 0 25 Oct 2023
UniMAP: Universal SMILES-Graph Representation Learning Shikun Feng Lixin Yang Wei-Ying Ma Yanyan Lan OffRL 82 6 0 22 Oct 2023