Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 4,504 papers shown

Title
Multigraph Message Passing with Bi-Directional Multi-Edge Aggregations H. Çağrı Bilgi Lydia Y. Chen Kubilay Atasu 86 1 0 29 Nov 2024
Twisted Convolutional Networks (TCNs): Enhancing Feature Interactions for Non-Spatial Data Classification Junbo Jacob Lian 67 0 0 29 Nov 2024
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 69 5 0 29 Nov 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Yezi Liu Ruijie Du Yanning Shen FedML 78 0 0 29 Nov 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 115 0 0 28 Nov 2024
Instance-Aware Graph Prompt Learning Jiazheng Li Jundong Li Chuxu Zhang VLM 84 4 0 26 Nov 2024
Joint Combinatorial Node Selection and Resource Allocations in the Lightning Network using Attention-based Reinforcement Learning Mahdi Salahshour Amirahmad Shafiee Mojtaba Tefagh 76 0 0 26 Nov 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu Steve Yang 108 2 0 26 Nov 2024
MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion Yaya Etiabi Eslam Eldeeb M. Shehab Wafa Njima Hirley Alves Mohamed-Slim Alouini El-Mehdi Amhoud 78 0 0 26 Nov 2024
From Graph Diffusion to Graph Classification Jia Jun Cheng Xian Sadegh Mahdavi Renjie Liao Oliver Schulte GNN DiffM 87 0 0 26 Nov 2024
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learning Xinyi Gao Yayong Li Tong Chen Guanhua Ye Wentao Zhang Hongzhi Yin 92 2 0 26 Nov 2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Amirabbas Afzali Hesam Hosseini Mohmmadamin Mirzai Arash Amini AI4TS 74 1 0 25 Nov 2024
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference Pol Puigdemont Francesco Lo Presti Axel Wassington Abhijit Das S. Abadal Maurizio Palesi GNN 91 0 0 25 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 111 4 0 25 Nov 2024
SuperGCN: General and Scalable Framework for GCN Training on CPU-powered Supercomputers Chen Zhuang Peng Chen Xin Liu Rio Yokota Nikoli Dryden Toshio Endo Satoshi Matsuoka Mohamed Wahib GNN 79 0 0 25 Nov 2024
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning Toyotaro Suzumura H. Kanezashi Shotaro Akahori AI4MH 91 0 0 25 Nov 2024
Best of Both Worlds: Advantages of Hybrid Graph Sequence Models Ali Behrouz Ali Parviz Mahdi Karami Clayton Sanford Bryan Perozzi Vahab Mirrokni 112 2 0 23 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 79 0 0 23 Nov 2024
GeoAI-Enhanced Community Detection on Spatial Networks with Graph Deep Learning Yunlei Liang Jiawei Zhu Wen-Gui Ye Song Gao GNN 83 3 0 23 Nov 2024
Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer Liangrui Pan Qingchun Liang Wenwu Zeng Yijun Peng Zhenyu Zhao Yiyi Liang Jiadi Luo Xiang Wang Shaoliang Peng 74 2 0 22 Nov 2024
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inference Yunhui Liu Xinyi Gao Tieke He Jianhua Zhao Hongzhi Yin 98 1 0 21 Nov 2024
A Theory for Compressibility of Graph Transformers for Transductive Learning Hamed Shirzad Honghao Lin A. Velingker B. Venkatachalam David P. Woodruff Danica J. Sutherland 90 2 0 20 Nov 2024
X as Supervision: Contending with Depth Ambiguity in Unsupervised Monocular 3D Pose Estimation Yuchen Yang Xuanyi Liu Xing Gao Zhihang Zhong Xingwu Sun 81 0 0 20 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 88 0 0 19 Nov 2024
Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement Earliness Junghoon Kim Junmo Lee Yeonjun In Kanghoon Yoon Chanyoung Park 76 1 0 19 Nov 2024
Tackling prediction tasks in relational databases with LLMs Marek Wydmuch Łukasz Borchmann Filip Graliñski 79 2 0 18 Nov 2024
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting Hongjun Wang Jiyuan Chen Lingyu Zhang Renhe Jiang Xuan Song AI4TS 109 1 0 18 Nov 2024
The GECo algorithm for Graph Neural Networks Explanation Salvatore Calderaro Domenico Amato Giosuè Lo Bosco R. Rizzo Filippo Vella 82 0 0 18 Nov 2024
Graph Neural Networks on Graph Databases Dmytro Lopushanskyy Borun Shi GNN 88 0 0 18 Nov 2024
Visual-Semantic Graph Matching Net for Zero-Shot Learning Bowen Duan Shiming Chen Yufei Guo Guo-Sen Xie Weiping Ding Yisong Wang 97 1 0 18 Nov 2024
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries Zhihao Li Haoze Song Di Xiao Zhilu Lai Wei Wang AI4CE 104 3 0 18 Nov 2024
IMPaCT GNN: Imposing invariance with Message Passing in Chronological split Temporal Graphs Sejun Park Joo Young Park Hyunwoo Park AI4CE OOD 53 0 0 17 Nov 2024
Stealing Training Graphs from Graph Neural Networks Minhua Lin Enyan Dai Junjie Xu Jinyuan Jia Xiang Zhang Suhang Wang DiffM 38 1 0 17 Nov 2024
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 130 16 0 16 Nov 2024
Diagnostic Text-guided Representation Learning in Hierarchical Classification for Pathological Whole Slide Image Jiawen Li Qiehe Sun Renao Yan Yizhi Wang Yuqiu Fu Yani Wei Tian Guan Huijuan Shi Yonghonghe He Anjia Han 54 3 0 16 Nov 2024
Bitcoin Research with a Transaction Graph Dataset Hugo Schnoering Michalis Vazirgiannis GNN 57 0 0 15 Nov 2024
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling Jinming Xing Ruilin Xing Chang Xue Dongwen Luo 44 2 0 12 Nov 2024
General Geospatial Inference with a Population Dynamics Foundation Model Mohit Agarwal Mimi Sun C. Kamath Arbaaz Muslim Prithul Sarker ... Niv Efron Yossi Matias Greg C. Corrado Krish Eswaran Shruthi Prabhakara AI4CE 54 2 0 11 Nov 2024
Variational Graph Contrastive Learning Shifeng Xie Jhony H. Giraldo 47 0 0 11 Nov 2024
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs Xingzhi Guo Silong Wang Baojian Zhou Yanghua Xiao Steven Skiena 62 1 0 11 Nov 2024
Inductive Graph Few-shot Class Incremental Learning Yongqian Li Peyman Moghadam Can Peng Nan Ye Piotr Koniusz 80 2 0 11 Nov 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 43 1 0 10 Nov 2024
Multistage non-deterministic classification using secondary concept graphs and graph convolutional networks for high-level feature extraction Masoud Kargar Nasim Jelodari Alireza Assadzadeh GNN 42 0 0 09 Nov 2024
GFT: Graph Foundation Model with Transferable Tree Vocabulary Zehong Wang Zheyuan Zhang Nitesh Chawla Chuxu Zhang Yanfang Ye 59 11 0 09 Nov 2024
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hai Shu 52 0 0 07 Nov 2024
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 276 0 0 07 Nov 2024
Enhancing Financial Fraud Detection with Human-in-the-Loop Feedback and Feedback Propagation Prashank Kadam 41 0 0 07 Nov 2024
Financial Fraud Detection using Jump-Attentive Graph Neural Networks Prashank Kadam GNN 46 0 0 07 Nov 2024
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck Shuangjie Li Jiangqing Song Baoming Zhang Gaoli Ruan Junyuan Xie Chongjun Wang 38 0 0 07 Nov 2024
Graph neural networks and non-commuting operators Mauricio Velasco Kaiying O'Hare Bernardo Rychtenberg Soledad Villar GNN 274 1 0 06 Nov 2024