node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

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Title
EPARS: Early Prediction of At-risk Students with Online and Offline Learning Behaviors Yu Yang Zhiyuan Wen Jiannong Cao Jiaxing Shen Hongzhi Yin Xiaofang Zhou 9 3 0 06 Jun 2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction Hongxu Chen Hongzhi Yin Xiangguo Sun Tong Chen Bogdan Gabrys Katarzyna Musial 23 138 0 02 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 44 6 0 02 Jun 2020
InfiniteWalk: Deep Network Embeddings as Laplacian Embeddings with a Nonlinearity Sudhanshu Chanpuriya Cameron Musco 22 28 0 29 May 2020
Blockchain is Watching You: Profiling and Deanonymizing Ethereum Users Ferenc Béres István András Seres András A. Benczúr Mikerah Quintyne-Collins 22 74 0 28 May 2020
A Novel Distributed Representation of News (DRNews) for Stock Market Predictions Ye Ma Lu Zong Peiwan Wang AIFin 19 5 0 24 May 2020
A Survey of Information Cascade Analysis: Models, Predictions, and Recent Advances Fan Zhou Xovee Xu Goce Trajcevski Kunpeng Zhang 24 171 0 22 May 2020
The Effects of Randomness on the Stability of Node Embeddings Tobias Schumacher Hinrikus Wolf Martin Ritzert Florian Lemmerich Jan Bachmann Florian Frantzen Max Klabunde Martin Grohe M. Strohmaier 16 21 0 20 May 2020
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes Asan Agibetov Matthias Samwald 39 8 0 15 May 2020
Structural Temporal Graph Neural Networks for Anomaly Detection in Dynamic Graphs Lei Cai Zhengzhang Chen Chen Luo Jiaping Gui Jingchao Ni Ding Li Haifeng Chen 23 124 0 15 May 2020
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding Xiyuan Chen Mark Heimann Fatemeh Vahedian Danai Koutra 3DPC 26 5 0 10 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 27 287 0 07 May 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans Ge Yang Amy Zhang Ari S. Morcos Joelle Pineau Pieter Abbeel Roberto Calandra SSL OffRL 30 27 0 07 May 2020
Learning Geo-Contextual Embeddings for Commuting Flow Prediction Zhicheng Liu Fabio Miranda Weiting Xiong Junyan Yang Qiao Wang Claudio T. Silva AI4TS 36 71 0 04 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 88 2,666 0 02 May 2020
SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks Kexin Huang C. Xiao Lucas Glass Marinka Zitnik Jimeng Sun GNN 26 117 0 30 Apr 2020
Methods for Computing Legal Document Similarity: A Comparative Study Paheli Bhattacharya Kripabandhu Ghosh Arindam Pal Saptarshi Ghosh AILaw 14 32 0 26 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 30 393 0 23 Apr 2020
Network-principled deep generative models for designing drug combinations as graph sets Mostafa Karimi Arman Hasanzadeh Yang Shen GNN 38 31 0 16 Apr 2020
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph Chien-Chun Ni Kin Sum Liu Nicolas Torzec 9 30 0 15 Apr 2020
Edgeworth expansions for network moments Yuan Zhang Dong Xia 37 25 0 14 Apr 2020
Towards Exploiting Implicit Human Feedback for Improving RDF2vec Embeddings A. A. Taweel Heiko Paulheim 22 5 0 09 Apr 2020
Epitomic Variational Graph Autoencoder R. A. Khan Muhammad Umer Anwaar M. Kleinsteuber BDL 38 10 0 03 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 55 57 0 01 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 27 263 0 31 Mar 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning Zekarias T. Kefato Sarunas Girdzijauskas 21 7 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
The impossibility of low rank representations for triangle-rich complex networks C. Seshadhri Aneesh Sharma Andrew Stolman Ashish Goel GNN 30 67 0 27 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 32 170 0 27 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 29 14 0 27 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 65 47 0 22 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs Binod Bhattarai Tae-Kyun Kim GAN 37 19 0 13 Mar 2020
Topological Effects on Attacks Against Vertex Classification B. A. Miller Mustafa Çamurcu Alexander J. Gomez Kevin S. Chan Tina Eliassi-Rad AAML 19 2 0 12 Mar 2020
KGvec2go -- Knowledge Graph Embeddings as a Service Jan Portisch M. Hladik Heiko Paulheim 3DV 20 25 0 09 Mar 2020
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition Ke Wang M. M. Li Hong Fu Jicong Fan Zhao Zhang Howard Leung 46 5 0 06 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 37 11 0 05 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 24 64 0 03 Mar 2020
Ego-based Entropy Measures for Structural Representations George Dasoulas Giannis Nikolentzos Kevin Scaman Aladin Virmaux Michalis Vazirgiannis 17 4 0 01 Mar 2020
Entity Profiling in Knowledge Graphs Xiang Zhang Qingqing Yang Jinru Ding Ziyue Wang 6 8 0 29 Feb 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 26 37 0 27 Feb 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes Jilin Hu Jianbing Shen B. Yang Ling Shao BDL GNN 49 17 0 26 Feb 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 43 22 0 25 Feb 2020
Memory-Based Graph Networks Amir Hosein Khas Ahmadi Kaveh Hassani Parsa Moradi Leo Lee Q. Morris GNN 34 90 0 21 Feb 2020
Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks Tsubasa Takahashi GNN AAML 19 37 0 19 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 28 612 0 19 Feb 2020
Higher-Order Label Homogeneity and Spreading in Graphs D. Eswaran Srijan Kumar Christos Faloutsos 44 20 0 18 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs Han Yang Xiao Yan XINYAN DAI Yongqiang Chen James Cheng 13 36 0 18 Feb 2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality Silviu Pitis Harris Chan Kiarash Jamali Jimmy Ba 8 24 0 14 Feb 2020
Shortest path distance approximation using deep learning techniques Fatemeh Salehi Rizi Jorg Schlotterer Michael Granitzer GNN 24 35 0 12 Feb 2020