node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,627 papers shown

Title
MCPI: Integrating Multimodal Data for Enhanced Prediction of Compound Protein Interactions Li Zhang Wenhao Li Hao Guan Zhiquan He Min-Cai Cheng Han Wang 44 0 0 15 Jun 2023
Explainable and Position-Aware Learning in Digital Pathology Milan Aryal Nasim Yahyasoltani MedIm 67 0 0 14 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 101 7 0 12 Jun 2023
Leveraging Skill-to-Skill Supervision for Knowledge Tracing Hyeondey Kim Jinwoo Nam Minjae Lee Yun Jegal Kyungwoo Song 43 0 0 12 Jun 2023
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora R. Joyce Tirth Patel Charles K. Nicholas Edward Raff 64 6 0 09 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction Xuan Lin Lichang Dai Yafang Zhou Zunpeng Yu Wen Zhang ... Li Zeng Hao-Heng Chen Bosheng Song Philip S. Yu Xiangxiang Zeng GNN 72 62 0 08 Jun 2023
arXiv4TGC: Large-Scale Datasets for Temporal Graph Clustering Meng Liu K. Liang Yue Liu Siwei Wang Sihang Zhou Xinwang Liu AI4CE 116 4 0 08 Jun 2023
Synthesizing realistic sand assemblies with denoising diffusion in latent space Nikolaos N. Vlassis WaiChing Sun K. Alshibli R. Regueiro DiffM 65 6 0 07 Jun 2023
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach Zhongwei Zhan Yingjie Wang Peiyong Duan A. Sai Zhaowei Liu Chaocan Xiang Xiangrong Tong Weilong Wang Z. Cai 93 4 0 07 Jun 2023
Randomized Schur Complement Views for Graph Contrastive Learning Vignesh Kothapalli 133 2 0 06 Jun 2023
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs Zhiyong Yang Tinglin Huang Ming Ding Yuxiao Dong Rex Ying Yukuo Cen Yangli-ao Geng Jie Tang SSL VLM 96 9 0 06 Jun 2023
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht Jeroen Smeets P. Li 193 55 0 02 Jun 2023
Accelerating science with human-aware artificial intelligence J. Sourati James A. Evans 69 47 0 02 Jun 2023
Revisiting Hate Speech Benchmarks: From Data Curation to System Deployment Atharva Kulkarni Sarah Masud Vikram Goyal Tanmoy Chakraborty 84 10 0 01 Jun 2023
Semi-supervised Community Detection via Structural Similarity Metrics Yi-Huei Jiang Tracy Ke 105 0 0 01 Jun 2023
Graph-Level Embedding for Time-Evolving Graphs Lili Wang Chenghan Huang Weicheng Ma Xinyuan Cao Soroush Vosoughi AI4CE 53 1 0 01 Jun 2023
Who Would be Interested in Services? An Entity Graph Learning System for User Targeting Dan Yang Binbin Hu Xiaoyan Yang Yue Shen Qing Cui Jinjie Gu Guannan Zhang 81 4 0 30 May 2023
Dink-Net: Neural Clustering on Large Graphs Yue Liu K. Liang Jun Xia Sihang Zhou Xihong Yang Xinwang Liu Stan Z. Li GNN 171 55 0 28 May 2023
GIMM: InfoMin-Max for Automated Graph Contrastive Learning Xin Xiong Furao Shen Xiangyu Wang School of Materials Science 76 0 0 27 May 2023
Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation Prediction Hao Geng Deqing Wang Fuzhen Zhuang Xuehua Ming Chenguang Du Ting Jiang Haolong Guo Rui Liu 124 11 0 27 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Hawook Jeong DiffM 75 17 0 26 May 2023
Inductive detection of Influence Operations via Graph Learning N. Gabriel David A. Broniatowski N. Johnson AI4CE 50 10 0 26 May 2023
NODDLE: Node2vec based deep learning model for link prediction Kazi Zainab Khanam Aditya Singhal Vijay K. Mago 109 3 0 25 May 2023
Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification Gokul Bhusal Ekaterina Merkurjev Guo-Wei Wei 81 1 0 25 May 2023
Towards View-invariant and Accurate Loop Detection Based on Scene Graph Chuhao Liu Shaojie Shen 60 5 0 24 May 2023
Continual Learning on Dynamic Graphs via Parameter Isolation Peiyan Zhang Yuchen Yan Chaozhuo Li Senzhang Wang Xing Xie Guojie Song Sunghun Kim 119 40 0 23 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 116 3 0 23 May 2023
Instant Representation Learning for Recommendation over Large Dynamic Graphs Cheng Wu Chao-Hong Wang Jingcao Xu Ziwei Fang Tiankai Gu Changping Wang Yang Song Kai Zheng Xiaowei Wang Guorui Zhou AI4TS 79 6 0 22 May 2023
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs Yihong Liu Haotian Ye Leonie Weissweiler Renhao Pei Hinrich Schütze 95 11 0 22 May 2023
PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis Yi Yang Hejie Cui Carl Yang 104 19 0 20 May 2023
MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion Mingli Xu Jing Zhang 75 3 0 20 May 2023
Learning Continually on a Sequence of Graphs -- The Dynamical System Way Krishnan Raghavan Prasanna Balaprakash 87 0 0 19 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 60 7 0 19 May 2023
Deep Temporal Graph Clustering Meng Liu Yue Liu K. Liang Wenxuan Tu Siwei Wang Sihang Zhou Xinwang Liu 138 49 0 18 May 2023
A Signed Subgraph Encoding Approach via Linear Optimization for Link Sign Prediction Zhihong Fang Shaolin Tan Yaonan Wang 38 2 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 81 4 0 16 May 2023
Enhancing Keyphrase Extraction from Long Scientific Documents using Graph Embeddings Roberto Martínez-Cruz Debanjan Mahata Alvaro J. López-López J. Portela 139 4 0 16 May 2023
Decoupled Graph Neural Networks for Large Dynamic Graphs Yanping Zheng Zhewei Wei Jiajun Liu GNN BDL AI4TS AI4CE 63 14 0 14 May 2023
Tight and fast generalization error bound of graph embedding in metric space Atsushi Suzuki Atsushi Nitanda Taiji Suzuki Jing Wang Feng Tian Kenji Yamanishi 57 1 0 13 May 2023
Fisher Information Embedding for Node and Graph Learning Dexiong Chen Paolo Pellizzoni Karsten Borgwardt GNN 77 2 0 12 May 2023
Semantic Random Walk for Graph Representation Learning in Attributed Graphs Meng Qin 41 1 0 11 May 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 82 1 0 10 May 2023
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning Han Chen Zi-qiang Zhao Yuhua Li Yixiong Zou Rui Li Rui Zhang 79 14 0 08 May 2023
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning Junran Wu Xueyuan Chen Bowen Shi Shangzhe Li Ke Xu 73 8 0 08 May 2023
Automated Spatio-Temporal Graph Contrastive Learning Qianru Zhang Chao Huang Lianghao Xia Zheng Wang Zhonghang Li Siu-keung Yiu AI4TS 57 51 0 06 May 2023
Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 95 7 0 05 May 2023
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex Dynamics Cencheng Shen Jonathan Larson Ha Trinh Xihan Qin V. Prisacariu Carey E. Priebe 93 8 0 03 May 2023
LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction Jiawei Jiang Chengkai Han Wenjun Jiang Wayne Xin Zhao Jingyuan Wang AI4TS AI4CE 162 9 0 27 Apr 2023
highway2vec -- representing OpenStreetMap microregions with respect to their road network characteristics Kacper Le'sniara Piotr Szymañski 47 2 0 26 Apr 2023
Connector 0.5: A unified framework for graph representation learning Thanh Sang Nguyen Jooho Lee Van Thuy Hoang O-Joun Lee 3DV 37 4 0 25 Apr 2023