node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 1,051 papers shown

Title
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs Gilles Vandewiele Bram Steenwinckel P. Bonte Michael Weyns Heiko Paulheim Petar Ristoski F. Turck F. Ongenae 24 17 0 09 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 751 0 08 Sep 2020
Utilizing Citation Network Structure to Predict Citation Counts: A Deep Learning Approach Qihang Zhao 15 4 0 06 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 241 0 03 Sep 2020
Reinforcement Learning-based Black-Box Evasion Attacks to Link Prediction in Dynamic Graphs Houxiang Fan Binghui Wang Pan Zhou Ang Li Meng Pang Zichuan Xu Cai Fu H. Li Yiran Chen AAML MLAU 22 16 0 01 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 31 12 0 31 Aug 2020
SEEC: Semantic Vector Federation across Edge Computing Environments Shalisha Witherspoon Dean Steuer Graham A. Bent N. Desai FedML 25 2 0 30 Aug 2020
GOSH: Embedding Big Graphs on Small Hardware Taha Atahan Akyildiz Amro Alabsi Aljundi K. Kaya GNN 25 17 0 27 Aug 2020
SIGL: Securing Software Installations Through Deep Graph Learning Xueyuan Han Xiao Yu Thomas Pasquier Ding Li J. Rhee James W. Mickens Margo Seltzer Haifeng Chen 31 49 0 26 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 30 5 0 26 Aug 2020
Adversarial Directed Graph Embedding Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 28 44 0 09 Aug 2020
Big Networks: A Survey H. D. Bedru Shuo Yu Xinru Xiao Da Zhang Liangtian Wan He Guo Feng Xia AI4CE 22 39 0 09 Aug 2020
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos Subhro Ghosh Krishnakumar Balasubramanian Xiaochuan Yang 16 3 0 07 Aug 2020
Exemplar-based Layout Fine-tuning for Node-link Diagrams Jiacheng Pan Wei Chen Xiaodong Zhao Shuyue Zhou Wei Zeng Minfeng Zhu Jian Chen Siwei Fu Yingcai Wu 18 12 0 03 Aug 2020
Genome Sequence Classification for Animal Diagnostics with Graph Representations and Deep Neural Networks S. Narayanan A. Ramachandran Sathyanarayanan N. Aakur A. Bagavathi 19 4 0 24 Jul 2020
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models Michael Ridenhour A. Bagavathi Elaheh Raisi S. Krishnan 30 10 0 24 Jul 2020
Recent Advances in Network-based Methods for Disease Gene Prediction S. Ata Min-man Wu Yuan Fang Le Ou-Yang C. Kwoh Xiaoli Li 18 57 0 19 Jul 2020
EPGAT: Gene Essentiality Prediction With Graph Attention Networks João Schapke Anderson R. Tavares M. Recamonde‐Mendoza 19 20 0 19 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 21 3 0 17 Jul 2020
Inductive Link Prediction for Nodes Having Only Attribute Information Yu Hao Xin Cao Yixiang Fang Xike Xie Sibo Wang 22 76 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 28 53 0 15 Jul 2020
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens Saman Forouzandeh M. Rostami K. Berahmand 21 90 0 15 Jul 2020
Next Waves in Veridical Network Embedding Owen G. Ward Zhen Huang Andrew Davison Tian Zheng GNN 21 5 0 10 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 33 85 0 09 Jul 2020
NASGEM: Neural Architecture Search via Graph Embedding Method Hsin-Pai Cheng Tunhou Zhang Yixing Zhang Shiyu Li Feng Liang Feng Yan Meng Li Vikas Chandra H. Li Yiran Chen GNN 34 19 0 08 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 29 28 0 03 Jul 2020
Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui Jie Zhou Cheng Yang Zhiyuan Liu 22 219 0 03 Jul 2020
Build2Vec: Building Representation in Vector Space Mahmoud Abdelrahman A. Chong Clayton Miller SSL 14 11 0 01 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 39 260 0 30 Jun 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 551 0 27 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 26 91 0 26 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 25 159 0 23 Jun 2020
Deep Belief Network based representation learning for lncRNA-disease association prediction Manu Madhavan G. Gopakumar AI4CE 14 9 0 22 Jun 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 45 633 0 18 Jun 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong Yatao Bian Tingyang Xu Wei-yang Xie Ying Wei Wenbing Huang Junzhou Huang AI4CE 24 25 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training J. Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang SSL 64 939 0 17 Jun 2020
Exploiting Visual Semantic Reasoning for Video-Text Retrieval Zerun Feng Zhimin Zeng Caili Guo Zheng Li 22 34 0 16 Jun 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering Meng Liu D. Gleich 16 13 0 15 Jun 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 59 1,588 0 15 Jun 2020
Global Attention Improves Graph Networks Generalization Omri Puny Heli Ben-Hamu Y. Lipman 27 22 0 14 Jun 2020
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? Shen Yan Yu Zheng Wei Ao Xiao Zeng Mi Zhang SSL AI4CE 37 100 0 12 Jun 2020
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation Wenjing Meng Deqing Yang Yanghua Xiao 26 107 0 12 Jun 2020
GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs Yuke Wang Boyuan Feng Gushu Li Shuangchen Li Lei Deng Yuan Xie Yufei Ding GNN 21 121 0 11 Jun 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 27 33 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,278 0 10 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 27 294 0 09 Jun 2020
FREDE: Anytime Graph Embeddings Anton Tsitsulin Marina Munkhoeva Davide Mottin Panagiotis Karras Ivan Oseledets Emmanuel Müller 30 34 0 08 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 21 26 0 08 Jun 2020