node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,627 papers shown

Title
HyperS2V: A Framework for Structural Representation of Nodes in Hyper Networks Shu Liu Cameron Lai F. Toriumi GNN 44 2 0 07 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 66 10 0 07 Nov 2023
IC-SECURE: Intelligent System for Assisting Security Experts in Generating Playbooks for Automated Incident Response Ryuta Kremer Prasanna N. Wudali Satoru Momiyama Toshinori Araki Jun Furukawa Yuval Elovici A. Shabtai 49 2 0 07 Nov 2023
United We Stand, Divided We Fall: UnityGraph for Unsupervised Procedure Learning from Videos Siddhant Bansal Chetan Arora C. V. Jawahar 125 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 56 0 0 06 Nov 2023
Edge2Node: Reducing Edge Prediction to Node Classification Zahed Rahmati 32 0 0 06 Nov 2023
Contrastive Deep Nonnegative Matrix Factorization for Community Detection Yuecheng Li Jialong Chen Chuan Chen Lei Yang Zibin Zheng 49 10 0 04 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 119 15 0 02 Nov 2023
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 150 0 0 02 Nov 2023
Learning Cooperative Trajectory Representations for Motion Forecasting Hongzhi Ruan Haibao Yu Wen-Yen Yang Siqi Fan Yingjuan Tang Zaiqing Nie AI4TS 83 14 0 01 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 74 8 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 138 8 0 31 Oct 2023
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding Yuqi Wang Zeqiang Wang Wei Wang Qi Chen Kaizhu Huang Anh Nguyen Suparna De MedIm 36 2 0 31 Oct 2023
KG-FRUS: a Novel Graph-based Dataset of 127 Years of US Diplomatic Relations Gökberk Özsoy Luis Salamanca Matthew Connelly Raymond Hicks Fernando Pérez-Cruz 43 1 0 30 Oct 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 92 36 0 29 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou D. Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 110 12 0 28 Oct 2023
One Model Fits All: Cross-Region Taxi-Demand Forecasting Ren Ozeki Haruki Yonekura Aidana Baimbetova Hamada Rizk Hirozumi Yamaguchi 54 3 0 27 Oct 2023
Positional Encoding-based Resident Identification in Multi-resident Smart Homes Zhiyi Song Dipankar Chaki Abdallah Lakhdari A. Bouguettaya 68 2 0 27 Oct 2023
GADY: Unsupervised Anomaly Detection on Dynamic Graphs Shiqi Lou Qingyue Zhang Shujie Yang Yuyang Tian Zhaoxuan Tan Minnan Luo 72 3 0 25 Oct 2023
URL-BERT: Training Webpage Representations via Social Media Engagements A. Qamar Chetan Verma Ahmed El-Kishky Sumit Binnani Sneha Mehta Taylor Berg-Kirkpatrick 69 0 0 25 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 69 0 0 22 Oct 2023
Ensemble Learning for Graph Neural Networks Zhen Hao Wong Ling Yue Quanming Yao 106 0 0 22 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 104 4 0 20 Oct 2023
Pretraining Language Models with Text-Attributed Heterogeneous Graphs Tao Zou Le Yu Yifei Huang Leilei Sun Bo Du AI4CE 64 17 0 19 Oct 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 88 3 0 18 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 49 6 0 18 Oct 2023
Efficiently Visualizing Large Graphs Xinyu Li Yao Xiao Yuchen Zhou 42 0 0 17 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning Yulan Hu Zhirui Yang Ouyang Sheng Yong Liu 88 1 0 17 Oct 2023
Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 87 0 0 16 Oct 2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review Guanghua Wang Weili Wu AI4TS AILaw 91 4 0 13 Oct 2023
Evading Community Detection via Counterfactual Neighborhood Search Andrea Bernini Fabrizio Silvestri Gabriele Tolomei BDL 90 1 0 13 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 134 28 0 11 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 106 21 0 08 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang Tong Zhao Yuying Zhao Yunchao Liu Xueqi Cheng Neil Shah Hanyu Wang 83 10 0 06 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 68 6 0 05 Oct 2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions Maziyar Khadivi Todd Charter Marjan Yaghoubi Masoud Jalayer Maryam Ahang Ardeshir Shojaeinasab Homayoun Najjaran 78 11 0 04 Oct 2023
Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks Zihan Chen Jingyi Sun Rong Liu Feng Mai 64 1 0 04 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations C. Ekbote Ajinkya Deshpande Arun Shankar Iyer Ramakrishna Bairi Sundararajan Sellamanickam SSL 84 5 0 03 Oct 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang Jia Li Yang Liu Jiashun Cheng Yu Rong Wenjia Wang Fugee Tsung NoLa 100 9 0 02 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive Learning Subha Maity Mayank Agarwal Mikhail Yurochkin Yuekai Sun 101 2 0 02 Oct 2023
DINE: Dimensional Interpretability of Node Embeddings Simone Piaggesi Megha Khosla Andre' Panisson Avishek Anand 82 6 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 101 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 70 10 0 02 Oct 2023
Revisiting Link Prediction: A Data Perspective Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang 125 30 0 01 Oct 2023
City Foundation Models for Learning General Purpose Representations from OpenStreetMap Pasquale Balsebre Weiming Huang Gao Cong Yi Li AI4CE 112 19 0 01 Oct 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 128 1 0 30 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 130 15 0 29 Sep 2023
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs Satvik Garg Anh Nguyen Somya Garg 85 2 0 28 Sep 2023
Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings M. Devarakonda Smita Mohanty Raja Rao Sunkishala Nag Mallampalli Xiong Liu 73 5 0 27 Sep 2023
Graph Representation Learning Towards Patents Network Analysis Mohammad Heydari B. Teimourpour 23 1 0 25 Sep 2023