node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,033 papers shown

Title
Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation Rui Li Weihua Li Yi Yang Hanyu Wei Jianhua Jiang Quan-wei Bai DiffM 29 11 0 18 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 38 16 0 17 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 21 6 0 12 Oct 2022
Contrastive Trajectory Similarity Learning with Dual-Feature Attention Yanchuan Chang Jianzhong Qi Keli Zhang E. Tanin 35 34 0 11 Oct 2022
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction Miao Peng Ben Liu Qianqian Xie Wenjie Xu Hua Wang Min Peng 26 11 0 10 Oct 2022
Towards Real-Time Temporal Graph Learning Deniz Gurevin Mohsin Shan Tong Geng Weiwen Jiang Caiwen Ding O. Khan AI4TS AI4CE 43 0 0 08 Oct 2022
Dynamic Latent Separation for Deep Learning Yi-Lin Tuan Zih-Yun Chiu William Yang Wang 36 0 0 07 Oct 2022
Scalable Self-Supervised Representation Learning from Spatiotemporal Motion Trajectories for Multimodal Computer Vision Swetava Ganguli C. V. K. Iyer Vipul Pandey SSL 35 5 0 07 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 54 0 06 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction Zixiao Wang Yuluo Guo Jin Zhao Yu Zhang Hui Yu Xiaofei Liao Biao Wang Ting Yu DiffM GNN 29 6 0 04 Oct 2022
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation Zehong Wang Qi Li Donghua Yu 27 3 0 03 Oct 2022
The Effectiveness of Masked Language Modeling and Adapters for Factual Knowledge Injection Sondre Wold KELM 42 4 0 03 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 20 0 0 02 Oct 2022
ConceptNet infused DialoGPT for Underlying Commonsense Understanding and Reasoning in Dialogue Response Generation Ye Liu Wolfgang Maier Wolfgang Minker Stefan Ultes 49 2 0 29 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 23 15 0 28 Sep 2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations Hao Chen Zefan Wang Yue Xu Xiao Huang Feiran Huang 30 1 0 25 Sep 2022
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network Mario Krenn L. Buffoni B. Coutinho S. Eppel J. Foster ... Ngoc M. Tran Francisco Valente Yangxinyu Xie Rose Yu Michael K Kopp 42 42 0 23 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 47 9 0 20 Sep 2022
Explainable Clustering via Exemplars: Complexity and Efficient Approximation Algorithms Ian Davidson Michael J. Livanos Antoine Gourru Peter B. Walker Julien Velcin Sujith Ravi 16 4 0 20 Sep 2022
De Bruijn goes Neural: Causality-Aware Graph Neural Networks for Time Series Data on Dynamic Graphs Lisi Qarkaxhija Vincenzo Perri Ingo Scholtes CML AI4CE 24 6 0 17 Sep 2022
Flashlight: Scalable Link Prediction with Effective Decoders Yiwei Wang Bryan Hooi Yozen Liu Tong Zhao Zhichun Guo Neil Shah BDL 19 6 0 17 Sep 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 22 0 0 16 Sep 2022
Graph Contrastive Learning with Cross-view Reconstruction Qianlong Wen Z. Ouyang Chunhui Zhang Yiyue Qian Yanfang Ye Chuxu Zhang SSL 29 6 0 16 Sep 2022
Hub-aware Random Walk Graph Embedding Methods for Classification Aleksandar Tomcic Miloš Savić Miloš Radovanović 16 2 0 15 Sep 2022
Jointly Contrastive Representation Learning on Road Network and Trajectory Zhenyu Mao Ziyue Li Dedong Li Lei Bai Rui Zhao AI4TS 50 48 0 14 Sep 2022
Semantic2Graph: Graph-based Multi-modal Feature Fusion for Action Segmentation in Videos Jun-Bin Zhang Pei-Hsuan Tsai Meng-Hsun Tsai 39 20 0 13 Sep 2022
Machine Learning Partners in Criminal Networks Diego D. Lopes B. R. D. Cunha Alvaro F. Martins S. Gonçalves E. Lenzi Q. Hanley M. Perc H. V. Ribeiro 26 22 0 07 Sep 2022
Associative Learning for Network Embedding Yuchen Liang Dmitry Krotov Mohammed J. Zaki 12 0 0 30 Aug 2022
A Survey on Temporal Graph Representation Learning and Generative Modeling Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 32 6 0 25 Aug 2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings Milovs Savić V. Kurbalija Milovs Radovanović 26 1 0 25 Aug 2022
A Graph Convolution for Signed Directed Graphs Taewook Ko Chong-Kwon Kim 21 4 0 23 Aug 2022
Representation Learning of Knowledge Graph for Wireless Communication Networks Shiwen He Yeyu Ou Liangpeng Wang Hang Zhan Peng Ren Yongming Huang GNN 30 3 0 22 Aug 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 42 16 0 17 Aug 2022
Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li Zhouxin Yu Zulun Zhu Liang Chen Qi Yu Zibin Zheng Sheng Tian Ruofan Wu Changhua Meng GNN 29 31 0 15 Aug 2022
GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs Linhao Luo Yixiang Fang Moli Lu Xin Cao Xiaofeng Zhang Wenjie Zhang 35 7 0 12 Aug 2022
Path-aware Siamese Graph Neural Network for Link Prediction Jingsong Lv Zhao Li Hongyang Chen Yao Qi Chunqi Wu 37 3 0 10 Aug 2022
TPM: Transition Probability Matrix -- Graph Structural Feature based Embedding Sarmad N. Mohammed Semra Gunducc 26 1 0 07 Aug 2022
Generating Negative Samples for Sequential Recommendation Yong-Guang Chen Jia Li Zhiwei Liu N. Keskar Haiquan Wang Julian McAuley Caiming Xiong 35 4 0 07 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 55 372 0 05 Aug 2022
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning Yufei Liu Jie Cao D. Pi GNN 23 3 0 26 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 39 0 0 25 Jul 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 24 1 0 22 Jul 2022
Simplifying Clustering with Graph Neural Networks F. Bianchi 27 10 0 18 Jul 2022
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank Alessandro Epasto Vahab Mirrokni Bryan Perozzi Anton Tsitsulin Peilin Zhong 24 23 0 14 Jul 2022
Hierarchy exploitation to detect missing annotations on hierarchical multi-label classification Miguel Romero F. Nakano J. Finke C. Rocha C. Vens 29 0 0 13 Jul 2022
DDI Prediction via Heterogeneous Graph Attention Networks Farhan Tanvir Khaled Mohammed Saifuddin Esra Akbas 22 1 0 12 Jul 2022
Whois? Deep Author Name Disambiguation using Bibliographic Data Zeyd Boukhers N. Bahubali 25 6 0 11 Jul 2022
Wasserstein Graph Distance Based on $L_1$ -Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees Zhongxi Fang Jianming Huang Xun Su Hiroyuki Kasai 37 8 0 09 Jul 2022
A Survey on Hyperlink Prediction Cang Chen Yang-Yu Liu 3DV AI4CE 22 40 0 06 Jul 2022
Text Enriched Sparse Hyperbolic Graph Convolutional Networks Nurendra Choudhary Nikhil S. Rao Karthik Subbian Chandan K. Reddy 28 0 0 06 Jul 2022