DeepWalk: Online Learning of Social Representations

26 March 2014

Steven Skiena

Papers citing "DeepWalk: Online Learning of Social Representations"

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Title
Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM Hejie Cui Xinyu Fang Ran Xu Xuan Kan Joyce C. Ho Carl Yang 35 8 0 19 Feb 2024
Disambiguated Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang AI4CE 41 2 0 13 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 29 0 0 09 Feb 2024
RareBench: Can LLMs Serve as Rare Diseases Specialists? Xuanzhong Chen Xiaohao Mao Qihan Guo Lun Wang Shuyang Zhang Ting Chen ELM LM&MA AI4MH 58 22 0 09 Feb 2024
Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning Jiawei Jiang Yifan Yang Jingyuan Wang Junjie Wu AI4TS 25 2 0 09 Feb 2024
Classifying Nodes in Graphs without GNNs Daniel Winter Niv Cohen Yedid Hoshen 184 2 0 08 Feb 2024
Let Your Graph Do the Talking: Encoding Structured Data for LLMs Bryan Perozzi Bahare Fatemi Dustin Zelle Anton Tsitsulin Mehran Kazemi Rami Al-Rfou Jonathan J. Halcrow GNN 42 55 0 08 Feb 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu Zeyu Fang Zhen Zhang Ming Gu Sheng Zhou Xin Wang Jiajun Bu AI4CE 42 14 0 08 Feb 2024
Advanced Academic Team Worker Recommendation Models Mi Wu 29 0 0 07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 73 13 0 07 Feb 2024
Edge-Parallel Graph Encoder Embedding Ariel Lubonja Cencheng Shen Carey Priebe Randal C. Burns GNN 14 1 0 06 Feb 2024
Sign Rank Limitations for Inner Product Graph Decoders Su Hyeong Lee Qingqi Zhang Risi Kondor 33 0 0 06 Feb 2024
GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models Haibo Jin Ruoxi Chen Andy Zhou Yang Zhang Haohan Wang LLMAG 24 21 0 05 Feb 2024
Unraveling the Key of Machine Learning Solutions for Android Malware Detection Jiahao Liu Jun Zeng Fabio Pierazzi Lorenzo Cavallaro Zhenkai Liang AAML 26 8 0 05 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques Qiheng Mao Zemin Liu Chenghao Liu Zhuo Li Jianling Sun 24 7 0 04 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs S. Chatterjee Suman Kundu 10 0 0 30 Jan 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 47 8 0 29 Jan 2024
Review: Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 38 7 0 21 Jan 2024
Clustering Molecular Energy Landscapes by Adaptive Network Embedding Paula Mercurio Di Liu 16 0 0 19 Jan 2024
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction Haowen Wang Yuliang Du Congyun Jin Yujiao Li Yingbo Wang Tao Sun Piqi Qin Cong Fan GNN 49 0 0 15 Jan 2024
Tensor Graph Convolutional Network for Dynamic Graph Representation Learning Ling Wang Ye Yuan GNN AI4CE 27 8 0 13 Jan 2024
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding Bozhen Hu Z. Zang Jun Xia Lirong Wu Cheng Tan Stan Z. Li GNN 29 2 0 12 Jan 2024
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering Pengfei Zhu Qian Wang Yu Wang Jialu Li Qinghua Hu 18 3 0 12 Jan 2024
A General Benchmark Framework is Dynamic Graph Neural Network Need Yusen Zhang 24 0 0 12 Jan 2024
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks D. Zanardini Emilio Serrano AI4CE GNN 34 0 0 10 Jan 2024
Image classification network enhancement methods based on knowledge injection Yishuang Tian Ning Wang Liang Zhang 28 1 0 09 Jan 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng Philip Yu 39 16 0 02 Jan 2024
Explainability-Based Adversarial Attack on Graphs Through Edge Perturbation Dibaloke Chanda Saba Heidari Gheshlaghi Nasim Yahya Soltani AAML 23 0 0 28 Dec 2023
Hierarchical Aggregations for High-Dimensional Multiplex Graph Embedding K. Abdous Nairouz Mrabah Mohamed Bouguessa 25 4 0 28 Dec 2023
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 34 7 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 31 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 38 3 0 25 Dec 2023
Learning Rich Rankings Arjun Seshadri Stephen Ragain J. Ugander 27 12 0 22 Dec 2023
Continuous-time Graph Representation with Sequential Survival Process Abdulkadir Çelikkanat Nikolaos Nakis Morten Morup 20 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 25 17 0 20 Dec 2023
Topo-MLP : A Simplicial Network Without Message Passing Karthikeyan N. Ramamurthy Aldo Guzmán-Sáenz Mustafa Hajij 62 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 27 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 11 0 0 12 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 32 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 34 22 0 11 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and Future Directions Zhaoxuan Tan Meng Jiang 30 8 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 21 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 29 2 0 08 Dec 2023
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure Anton Tsitsulin Bryan Perozzi 32 5 0 08 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 18 1 0 06 Dec 2023
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection Haoyu Jiang Haiyang Yu Nan Li Ping Yi 30 0 0 04 Dec 2023
Normed Spaces for Graph Embedding Diaaeldin Taha Wei-Ye Zhao J. M. Riestenberg Michael Strube 53 1 0 03 Dec 2023
A Review of Link Prediction Applications in Network Biology Ahmad F. Al Musawi Satyaki Roy Preetam Ghosh 18 1 0 03 Dec 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 29 1 0 29 Nov 2023