node2vec: Scalable Feature Learning for Networks

3 July 2016

Papers citing "node2vec: Scalable Feature Learning for Networks"

50 / 2,628 papers shown

Title
FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning Bowen Cao Qichen Ye Weiyuan Xu Yuexian Zou 90 1 0 23 Feb 2023
Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks Indro Spinelli Riccardo Bianchini Simone Scardapane 61 1 0 22 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 100 62 0 22 Feb 2023
PointFISH -- learning point cloud representations for RNA localization patterns Arthur Imbert Florian Müller Thomas Walter 3DPC 34 2 0 21 Feb 2023
Diffusion Probabilistic Models for Structured Node Classification Hyosoon Jang Seonghyun Park Sangwoo Mo SungSoo Ahn DiffM 111 3 0 21 Feb 2023
Link Prediction on Latent Heterogeneous Graphs Trung-Kien Nguyen Zemin Liu Yuan Fang 66 10 0 21 Feb 2023
Conformal Prediction for Network-Assisted Regression Robert Lunde Elizaveta Levina Ji Zhu 131 16 0 20 Feb 2023
Persian topic detection based on Human Word association and graph embedding Mehrdad Ranjbar-Khadivi Shahin Akbarpour M. Feizi-Derakhshi B. Anari 106 2 0 20 Feb 2023
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction Xinyan Wang Ting Jia Chong Wang Kuan Xu Zixin Shu Jian Yu Kuo Yang Xuezhong Zhou 60 2 0 18 Feb 2023
Creating generalizable downstream graph models with random projections Anton Amirov Chris Quirk Jennifer Neville 40 1 0 17 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 85 8 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 124 148 0 16 Feb 2023
Learning to Substitute Ingredients in Recipes Bahare Fatemi Quentin Duval Rohit Girdhar M. Drozdzal Adriana Romero Soriano 54 7 0 15 Feb 2023
Revisiting Initializing Then Refining: An Incomplete and Missing Graph Imputation Network Wenxuan Tu Bin Xiao Xinwang Liu Sihang Zhou Zhiping Cai Jieren Cheng 94 5 0 15 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment Meng Liu K. Liang Bin Xiao Wenxuan Tu Sihang Zhou Xihong Yang Xinwang Liu Yue Liu 110 72 0 15 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 136 13 0 14 Feb 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Hongzhi Zhang Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 120 13 0 13 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 165 2 0 09 Feb 2023
Dual Algorithmic Reasoning Danilo Numeroso D. Bacciu Petar Velickovic 84 19 0 09 Feb 2023
SF-SGL: Solver-Free Spectral Graph Learning from Linear Measurements Ying Zhang Zhiqiang Zhao Zhuo Feng 86 3 0 09 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 77 28 0 08 Feb 2023
AISYN: AI-driven Reinforcement Learning-Based Logic Synthesis Framework Ghasem Pasandi Sreedhar Pratty James Forsyth 49 6 0 08 Feb 2023
Learning to Count Isomorphisms with Graph Neural Networks Xingtong Yu Zemin Liu Yuan Fang Xinming Zhang GNN 98 15 0 07 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 98 9 0 06 Feb 2023
A Pre-training Framework for Knowledge Graph Completion Kuan Xu Kuo Yang Hanyang Dong Xinyan Wang Jian Yu Xuezhong Zhou 59 0 0 06 Feb 2023
Deep Graph-Level Clustering Using Pseudo-Label-Guided Mutual Information Maximization Network Jinyu Cai Yi Han Wenzhong Guo Jicong Fan 96 9 0 05 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 95 27 0 04 Feb 2023
Show me your NFT and I tell you how it will perform: Multimodal representation learning for NFT selling price prediction Davide Costa Lucio La Cava Andrea Tagarelli 64 23 0 03 Feb 2023
Witgenstein's influence on artificial intelligence Piero Molino Jacopo Tagliabue 61 0 0 03 Feb 2023
Causal Lifting and Link Prediction Leonardo Cotta Beatrice Bevilacqua Nesreen Ahmed Bruno Ribeiro CML 118 5 0 02 Feb 2023
Neural Common Neighbor with Completion for Link Prediction Xiyuan Wang Hao-Ting Yang Muhan Zhang GNN LRM 153 56 0 02 Feb 2023
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection Ciprian-Octavian Truicua Elena Simona Apostol Panagiotis Karras 54 36 0 01 Feb 2023
A Survey of Deep Learning: From Activations to Transformers Johannes Schneider Michalis Vlachos ViT MedIm AI4TS AI4CE 112 10 0 01 Feb 2023
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs Han-Sung Kim Jian Cui Eugene Jang Chanhee Lee Yongjae Lee Jin-Woo Chung Seung-Eui Shin GNN 86 8 0 31 Jan 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 108 10 0 31 Jan 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 160 9 0 31 Jan 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 103 9 0 29 Jan 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 102 3 0 29 Jan 2023
Node Injection for Class-specific Network Poisoning Ansh Sharma Rahul Kukreja Mayank Kharbanda Tanmoy Chakraborty AAML GNN 94 13 0 28 Jan 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning Marco Skocaj Pedro Enrique Iturria-Rivera Roberto Verdone Melike Erol-Kantarci 70 1 0 27 Jan 2023
DBGDGM: Dynamic Brain Graph Deep Generative Model Alexander Campbell Simeon E. Spasov N. Toschi Pietro Lio 49 0 0 26 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 124 2 0 26 Jan 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 70 0 0 26 Jan 2023
FewShotTextGCN: K-hop neighborhood regularization for few-shot learning on graphs Niels van der Heijden Ekaterina Shutova H. Yannakoudakis 107 0 0 25 Jan 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 126 20 0 25 Jan 2023
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators Min-hee Yoo Jaeyong Song Hyeyoon Lee Jounghoo Lee Namhyung Kim Youngsok Kim Jinho Lee GNN 86 5 0 24 Jan 2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model Nikolaos Nakis Abdulkadir Çelikkanat Louis Boucherie Christian Djurhuus Felix Burmester Daniel Mathias Holmelund Monika Frolcová Morten Mørup 63 6 0 23 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 80 0 0 19 Jan 2023
Bayesian Detection of Mesoscale Structures in Pathway Data on Graphs Luka V. Petrović Vincenzo Perri 56 0 0 16 Jan 2023
Artificial Benchmark for Community Detection with Outliers (ABCD+o) Bogumil Kamiñski P. Prałat F. Théberge 46 12 0 13 Jan 2023