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
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 29 1 0 29 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 47 52 0 28 Nov 2023
A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation Jinyu Miao Kun Jiang Tuopu Wen Yunlong Wang Peijing Jia ... Qian Cheng Zhongyang Xiao Jin Huang Zhihua Zhong Diange Yang 26 6 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 48 24 0 26 Nov 2023
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning Yaqing Wang Zaifei Yang Quanming Yao 27 21 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 29 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 67 10 0 23 Nov 2023
Unsupervised Graph Attention Autoencoder for Attributed Networks using K-means Loss Abdelfateh Bekkair Slimane Bellaouar Slimane Oulad-Naoui 21 0 0 21 Nov 2023
Content Augmented Graph Neural Networks Fatemeh Gholamzadeh Nasrabadi AmirHossein Kashani Pegah Zahedi M. H. Chehreghani 18 2 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 21 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 17 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 6 0 0 16 Nov 2023
ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering Zecheng Yin 29 0 0 13 Nov 2023
Untargeted Black-box Attacks for Social Recommendations Wenqi Fan Shijie Wang Xiao Wei Xiaowei Mei Qing Li MLAU AAML 32 3 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 47 13 0 13 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 30 0 0 10 Nov 2023
HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks Shu Liu Cameron Lai F. Toriumi GNN 15 1 0 07 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 26 8 0 07 Nov 2023
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos Siddhant Bansal Chetan Arora C. V. Jawahar 68 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 16 0 0 06 Nov 2023
Edge2Node: Reducing Edge Prediction to Node Classification Zahed Rahmati 7 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 44 14 0 02 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 28 7 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 59 6 0 31 Oct 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 35 31 0 29 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 38 10 0 28 Oct 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs Shiqi Lou Qingyue Zhang Shujie Yang Yuyang Tian Zhaoxuan Tan Minnan Luo 37 3 0 25 Oct 2023
UniMAP: Universal SMILES-Graph Representation Learning Shikun Feng Lixin Yang Wei-Ying Ma Yanyan Lan OffRL 24 6 0 22 Oct 2023
Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering Ruilin Yuan Leya Li Yuanzhe Cai AI4TS 27 0 0 22 Oct 2023
Ensemble Learning for Graph Neural Networks Zhen Hao Wong Ling Yue Quanming Yao 43 0 0 22 Oct 2023
Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation Kaiqi Yang Haoyu Han Wei-dong Jin Hui Liu 33 3 0 20 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 38 3 0 20 Oct 2023
HierCas: Hierarchical Temporal Graph Attention Networks for Popularity Prediction in Information Cascades Zhizhen Zhang Xiao-Zhu Xie Yishuo Zhang Lanshan Zhang Yong Jiang GNN 17 0 0 20 Oct 2023
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning Soheila Farokhi Aswani Yaramala Jiangtao Huang Muhammad Fawad Akbar Khan Xiaojun Qi Hamid Karimi 8 6 0 18 Oct 2023
Efficiently Visualizing Large Graphs Xinyu Li Yao Xiao Yuchen Zhou 21 0 0 17 Oct 2023
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond Andi Han Dai Shi Lequan Lin Junbin Gao AI4CE GNN 39 21 0 16 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 33 0 0 16 Oct 2023
Symmetrical SyncMap for Imbalanced General Chunking Problems Heng Zhang Danilo Vasconcellos Vargas 29 0 0 16 Oct 2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review Guanghua Wang Weili Wu AI4TS AILaw 43 3 0 13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 22 39 0 13 Oct 2023
Local Graph Clustering with Noisy Labels Artur Back de Luca K. Fountoulakis Shenghao Yang 11 1 0 12 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 35 19 0 08 Oct 2023
Higher-Order DeepTrails: Unified Approach to *Trails Tobias Koopmann Jan Pfister André Markus Astrid Carolus Carolin Wienrich Andreas Hotho AI4TS 22 0 0 06 Oct 2023
EGraFFBench: Evaluation of Equivariant Graph Neural Network Force Fields for Atomistic Simulations Vaibhav Bihani Utkarsh Pratiush Sajid Mannan Tao Du Zhimin Chen Santiago Miret Matthieu Micoulaut M. Smedskjaer Sayan Ranu N. M. A. Krishnan 29 19 0 03 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 31 6 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 32 1 0 02 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 34 7 0 02 Oct 2023
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels Jingyang Yuan Xiao Luo Yifang Qin Zhengyan Mao Wei Ju Ming Zhang AAML 43 18 0 26 Sep 2023
Graph Representation Learning Towards Patents Network Analysis Mohammad Heydari B. Teimourpour 11 1 0 25 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023