node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,627 papers shown

Title
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 75 1 0 11 Nov 2024
Discovering emergent connections in quantum physics research via dynamic word embeddings Felix Frohnert Xuemei Gu Mario Krenn Evert P L van Nieuwenburg AI4CE 88 2 0 10 Nov 2024
StopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms Ciprian-Octavian Truică Ana-Teodora Constantinescu Elena Simona Apostol 87 2 0 09 Nov 2024
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation Prashank Kadam 102 0 0 07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks Prashank Kadam GNN 63 1 0 07 Nov 2024
ComFairGNN: Community Fair Graph Neural Network Yonas Sium Qi Li 160 0 0 07 Nov 2024
Assessing and Enhancing Graph Neural Networks for Combinatorial Optimization: Novel Approaches and Application in Maximum Independent Set Problems Chenchuhui Hu 81 0 0 06 Nov 2024
JPEC: A Novel Graph Neural Network for Competitor Retrieval in Financial Knowledge Graphs Wanying Ding Manoj Cherukumalli Santosh Chikoti Vinay K. Chaudhri 44 0 0 05 Nov 2024
PageRank Bandits for Link Prediction Yikun Ban Jiaru Zou Zihao Li Yunzhe Qi Dongqi Fu Jian Kang Hanghang Tong Jingrui He 118 10 0 03 Nov 2024
Cloned Identity Detection in Social-Sensor Clouds based on Incomplete Profiles Ahmed AlHarbi Hai Dong X. Yi Prabath Abeysekara 65 0 0 02 Nov 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 99 2 0 02 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence Ying-Chun Lin Jennifer Neville Cassiano Becker Purvanshi Metha Nabiha Asghar Vipul Agarwal 68 0 0 01 Nov 2024
Node Regression on Latent Position Random Graphs via Local Averaging Martin Gjorgjevski Nicolas Keriven Simon Barthelmé Yohann De Castro 41 1 0 29 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph Wenkai Li Zhijie Liu Xiaoqi Li Sen Nie GNN 69 23 0 28 Oct 2024
DHPrep: Deep Hawkes Process based Dynamic Network Representation Ruixuan Han Hongxiang Li Bin Xie 59 0 0 27 Oct 2024
Uncovering Capabilities of Model Pruning in Graph Contrastive Learning Wu Junran Chen Xueyuan Li Shangzhe 101 1 0 27 Oct 2024
Domain Specific Data Distillation and Multi-modal Embedding Generation Sharadind Peddiraju Srini Rajagopal 41 0 0 27 Oct 2024
Convergence Guarantees for the DeepWalk Embedding on Block Models Christopher Harker Aditya Bhaskara 63 0 0 26 Oct 2024
Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Production Kexuan Xin Q. Wang Junyu Chen Pengfei Yu Huimin Zhao Heng Ji 89 0 0 24 Oct 2024
Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality Zihao Li Dongqi Fu Hengyu Liu Jingrui He 112 4 0 23 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 64 0 0 21 Oct 2024
Natural Language Querying System Through Entity Enrichment Joshua Amavi Mirian Halfeld Ferrari Nicolas Hiot 136 3 0 21 Oct 2024
SceneGraMMi: Scene Graph-boosted Hybrid-fusion for Multi-Modal Misinformation Veracity Prediction Swarang Joshi Siddharth Mavani Joel Alex Arnav Negi Rahul Mishra Ponnurangam Kumaraguru 121 0 0 20 Oct 2024
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space Zhenyu Lin Hongzheng Li Yingxia Shao Guanhua Ye Yawen Li Quanqing Xu 112 0 0 20 Oct 2024
Tensor-Fused Multi-View Graph Contrastive Learning Yujia Wu Junyi Mo Elynn Chen Yuzhou Chen 126 1 0 20 Oct 2024
Hiformer: Hybrid Frequency Feature Enhancement Inverted Transformer for Long-Term Wind Power Prediction Chongyang Wan Shunbo Lei Yuan Luo 31 0 0 17 Oct 2024
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models Tangwen Qian Junhe Li Yile Chen Gao Cong Tao Sun Fei Wang Yongjun Xu AI4TS 77 3 0 17 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples Yuntao Shou Xiangyong Cao Deyu Meng 120 10 0 14 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Miao Hu Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 113 1 0 14 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective Jintang Li Ruofan Wu Yuchang Zhu Huizhe Zhang Xinzhou Jin Guibin Zhang Zulun Zhu Zibin Zheng Liang Chen SSL 87 0 0 14 Oct 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning Qianru Zhang Haixin Wang Siu-Ming Yiu Hongzhi Yin AI4TS 72 1 0 14 Oct 2024
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs Haozhen Zhang Tao Feng Jiaxuan You AI4TS RALM 150 5 0 14 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive Survey Syed Mustafa Haider Rizvi Ramsha Imran Arif Mahmood GNN OOD FaML 64 2 0 12 Oct 2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data Andy Zhou Xiaojun Xu Ramesh Raghunathan Alok Lal Xinze Guan Bin Yu Bo Li 61 1 0 10 Oct 2024
MKGL: Mastery of a Three-Word Language Lingbing Guo Zhongpu Bo Zhuo Chen Yichi Zhang Jiaoyan Chen ... Yangyifei Luo Qian Li Qiang Zhang Wen Zhang Huajun Chen 98 2 0 10 Oct 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs Bowen Jin Ziqi Pang Bingjun Guo Yu-Xiong Wang Jiaxuan You Jiawei Han DiffM 104 2 0 09 Oct 2024
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding Xihan Qin Li Liao AI4CE 59 0 0 08 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features Gilchan Park Paul Baity Byung-Jun Yoon Adolfy Hoisie 123 0 0 05 Oct 2024
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain Ayush Agarwal Lv Lu Arjun Maheswaran Varsha Mahadevan Bhaskar Krishnamachari GNN 59 0 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 93 0 0 02 Oct 2024
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 64 0 0 02 Oct 2024
Graph-Based Representation Learning of Neuronal Dynamics and Behavior M. Khajehnejad Forough Habibollahi Ahmad Khajehnejad Chris French Brett J. Kagan Adeel Razi 107 1 0 01 Oct 2024
Optimizing Treatment Allocation in the Presence of Interference Daan Caljon Jente Van Belle Jeroen Berrevoets Wouter Verbeke 132 0 0 30 Sep 2024
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs Pavel Procházka Marek Dědič Lukáš Bajer GNN 60 0 0 26 Sep 2024
End-to-End Graph Flattening Method for Large Language Models Bin Hong Jinze Wu Jiayu Liu L. Ding Jing Sha Kai Zhang Shijin Wang Zhenya Huang 95 1 0 23 Sep 2024
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning Xiaoyi Liu Hongpeng Yang Chengwei Ai Ruihan Dong Yijie Ding Qianqian Yuan Jijun Tang Fei Guo 28 1 0 20 Sep 2024
Cloudy with a Chance of Anomalies: Dynamic Graph Neural Network for Early Detection of Cloud Services' User Anomalies Revital Marbel Yanir Cohen Ran Dubin Amit Dvir Chen Hajaj 113 0 0 19 Sep 2024
Unlocking NACE Classification Embeddings with OpenAI for Enhanced Analysis and Processing Andrea Vidali Nicola Jean Giacomo Le Pera 36 1 0 17 Sep 2024
PropEnc: A Property Encoder for Graph Neural Networks Anwar Said W. Abbas X. Koutsoukos 109 0 0 17 Sep 2024
Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation Sourabh Yadav Chenyang Yu Xinpeng Xie Yan Huang Chenxi Qiu AAML 60 0 0 14 Sep 2024