node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,627 papers shown

Title
Graph Neural Networks for Gut Microbiome Metaomic data: A preliminary work Christopher Irwin Flavio Mignone Stefania Montani Luigi Portinale AI4CE 37 1 0 28 Jun 2024
Into the Unknown: Generating Geospatial Descriptions for New Environments Tzuf Paz-Argaman John Palowitch Sayali Kulkarni Reut Tsarfaty Jason Baldridge 124 1 0 28 Jun 2024
WineGraph: A Graph Representation For Food-Wine Pairing Zuzanna Gawrysiak Agata .Zywot Agnieszka Ławrynowicz 32 2 0 27 Jun 2024
Federated Graph Semantic and Structural Learning Wenke Huang Guancheng Wan Mang Ye Bo Du FedML 144 49 0 27 Jun 2024
TopoGCL: Topological Graph Contrastive Learning Yuzhou Chen José Frías Yulia R. Gel 78 10 0 25 Jun 2024
Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs J. V. Pichowski Vincenzo Perri Lisi Qarkaxhija Ingo Scholtes 80 0 0 24 Jun 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning Adnan Ali Jinlong Li Huanhuan Chen Ali Kashif Bashir 118 1 0 21 Jun 2024
Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments Yile Liang Jiuxia Zhao Donghui Li Jie Feng Chen Zhang Xuetao Ding Jinghua Hao Renqing He 81 1 0 20 Jun 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective Yunfei Liu Jintang Li Yuehe Chen Ruofan Wu Ericbk Wang ... Shuheng Shen Xing Fu Changhua Meng Weiqiang Wang Liang Chen 93 10 0 20 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 102 4 0 19 Jun 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs Hewen Wang Renchi Yang Xiaokui Xiao 73 1 0 19 Jun 2024
A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks Yaochu Jin Xueming Yan Shiqing Liu Xiangyu Wang 141 3 0 19 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Yi Fang Dongzhe Fan Sirui Ding Ninghao Liu Qiaoyu Tan VLM 132 5 0 17 Jun 2024
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho Robert Hoehndorf Yuan He Ian Horrocks 168 6 0 16 Jun 2024
Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods Alireza Rashnu Sadegh Aliakbary 60 0 0 15 Jun 2024
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs Qijie Bai Changli Nie Haiwei Zhang Zhicheng Dou Xiaojie Yuan 134 0 0 14 Jun 2024
OLGA: One-cLass Graph Autoencoder M. Gôlo José Gilberto Barbosa de Medeiros Junior Diego Furtado Silva R. Marcacini 89 0 0 13 Jun 2024
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation Lihuan Li Hao Xue Yang Song Flora Salim 134 1 0 13 Jun 2024
Political Leaning Inference through Plurinational Scenarios Joseba Fernandez de Landa Rodrigo Agerri 62 1 0 12 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 79 0 0 11 Jun 2024
Link Prediction in Bipartite Networks Sükrü Demir Inan Özer Günce Keziban Orman Vincent Labatut 74 2 0 10 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 134 2 0 08 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 155 2 0 07 Jun 2024
STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning Wei Shao Yufan Kang Ziyan Peng Xiao Xiao Lei Wang Yuhui Yang Flora D Salim 90 1 0 06 Jun 2024
Efficient Graph Encoder Embedding for Large Sparse Graphs in Python Xihan Qin Cencheng Shen GNN 72 2 0 06 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 88 6 0 05 Jun 2024
Fast and Scalable Multi-Kernel Encoder Classifier Cencheng Shen 79 2 0 04 Jun 2024
Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer Wanli Ma Xuegang Tang Jin Gu Ying Wang Yuling Xia 53 0 0 04 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study Jintang Li Ruofan Wu Xinzhou Jin Boqun Ma Liang Chen Zibin Zheng 126 6 0 03 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 125 11 0 31 May 2024
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective Xingyi Zhang Zixuan Weng Sibo Wang 78 5 0 30 May 2024
Pretrained Mobility Transformer: A Foundation Model for Human Mobility Xinhua Wu Haoyu He Yanchao Wang Qi Wang 59 2 0 29 May 2024
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation Bruno Deprez Toon Vanderschueren Bart Baesens Tim Verdonck Wouter Verbeke 252 5 0 29 May 2024
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning Mingqing Xiao Yixin Zhu D.K. He Zhouchen Lin LRM 116 4 0 27 May 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen Danyang Huang Liyuan Wang Kathryn L. Lunetta Debarghya Mukherjee Huimin Cheng 68 0 0 26 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 106 5 0 24 May 2024
Encoder Embedding for General Graph and Node Classification Cencheng Shen GNN 92 5 0 24 May 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning Zhuo Xu Lu Bai Lixin Cui Ming Li Yue Wang Edwin R. Hancock GNN 79 1 0 23 May 2024
Graphlets correct for the topological information missed by random walks Sam F. L. Windels N. Malod-Dognin Nataša Pržulj 37 0 0 23 May 2024
Advancing Transportation Mode Share Analysis with Built Environment: Deep Hybrid Models with Urban Road Network Dingyi Zhuang Qingyi Wang Yunhan Zheng Xiaotong Guo Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 53 0 0 23 May 2024
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery Hongsheng Wang Weiyue Zhang Sihao Liu Xinrui Zhou Jing Li Zhanyun Tang Shengyu Zhang Leilei Gan Feng Lin 128 3 0 21 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 109 2 0 21 May 2024
Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks Marcin Podhajski Jan Dubiñski Franziska Boenisch Adam Dziedzic Agnieszka Pregowska Tomasz Michalak 90 2 0 20 May 2024
Multi-order Graph Clustering with Adaptive Node-level Weight Learning Ye Liu Xue Lin Yejia Chen Reynold Cheng 75 3 0 20 May 2024
Effective Clustering on Large Attributed Bipartite Graphs Renchi Yang Yidu Wu Xiaoyang Lin Qichen Wang Tsz Nam Chan Jieming Shi 97 3 0 20 May 2024
Safety in Graph Machine Learning: Threats and Safeguards Song Wang Yushun Dong Binchi Zhang Zihan Chen Xingbo Fu Yinhan He Cong Shen Chuxu Zhang Nitesh Chawla Wenlin Yao 106 8 0 17 May 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks Zhehan Zhao Lu Bai Lixin Cui Ming Li Yue Wang Lixiang Xu Edwin R. Hancock 95 3 0 16 May 2024
Simplicity within biological complexity Nataša Pržulj N. Malod-Dognin 77 0 0 15 May 2024
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation Ziwei Zhao Fake Lin Xi Zhu Zhi Zheng Tong Xu Shitian Shen Xueying Li Zikai Yin Enhong Chen 66 8 0 13 May 2024
Chronoblox: Chronophotographic Sequential Graph Visualization Quentin Lobbé Camille Roth Lena Mangold 104 0 0 13 May 2024