v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,529 papers shown

Title
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 121 37 0 11 Mar 2023
Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline Xuhang Chen Baiying Lei Chi-Man Pun Shuqiang Wang MedIm DiffM 87 21 0 11 Mar 2023
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 100 3 0 11 Mar 2023
Space-Invariant Projection in Streaming Network Embedding Yanwen Zhang Huiwen Wang Jichang Zhao 67 2 0 11 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 78 119 0 10 Mar 2023
A hybrid deep-learning-metaheuristic framework for bi-level network design problems B. Madadi Gonçalo Homem de Almeida Rodriguez Correia 56 5 0 10 Mar 2023
Mode-locking Theory for Long-Range Interaction in Artificial Neural Networks Xiuxiu Bai Shuaishuai Zhao Yao Gao Yanfeng Guo 45 0 0 10 Mar 2023
Sparse and Local Networks for Hypergraph Reasoning Guangxuan Xiao L. Kaelbling Jiajun Wu Jiayuan Mao NAI ReLM LRM 91 1 0 09 Mar 2023
Dynamic Scenario Representation Learning for Motion Forecasting with Heterogeneous Graph Convolutional Recurrent Networks Xing Gao Xiaogang Jia Yikang Li H. Xiong 98 35 0 08 Mar 2023
Graph Neural Networks in Vision-Language Image Understanding: A Survey Henry Senior Greg Slabaugh Shanxin Yuan Luca Rossi GNN 92 21 0 07 Mar 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 76 4 0 07 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 180 9 0 06 Mar 2023
DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk Jiafu Wu Mufeng Yao Dong Wu M. Chi Baokun Wang Ruofan Wu Xin Fu Changhua Meng Weiqiang Wang 48 3 0 06 Mar 2023
Heterogeneous Graph Learning for Acoustic Event Classification A. Shirian Mona Ahmadian Krishna Somandepalli T. Guha 71 2 0 05 Mar 2023
DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks Wenqian Li Yinchuan Li Zhigang Li Jianye Hao Yan Pang 147 30 0 04 Mar 2023
Towards a GML-Enabled Knowledge Graph Platform Hussein Abdallah Essam Mansour 57 3 0 03 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks See Hian Lee Feng Ji Wee Peng Tay 70 1 0 03 Mar 2023
HitGNN: High-throughput GNN Training Framework on CPU+Multi-FPGA Heterogeneous Platform Yi-Chien Lin Bingyi Zhang Viktor Prasanna GNN 54 7 0 02 Mar 2023
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication Mengdie Zhang Qi Hu Peng Sun Yonggang Wen Tianwei Zhang GNN 71 6 0 02 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 62 0 0 02 Mar 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 75 0 0 02 Mar 2023
Attention-based Graph Convolution Fusing Latent Structures and Multiple Features for Graph Neural Networks Yang Li Yuichi Tanaka 3DPC 61 0 0 02 Mar 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images Ramin Nakhli Puria Azadi Moghadam Haoyang Mi H. Farahani Alexander S. Baras B. Gilks A. Bashashati MedIm ViT 102 20 0 01 Mar 2023
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Zekun Li Shiyang Li Xifeng Yan AI4TS 94 58 0 01 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 78 3 0 01 Mar 2023
Lumos: Heterogeneity-aware Federated Graph Learning over Decentralized Devices Qiying Pan Yifei Zhu Lingyang Chu FedML 84 10 0 01 Mar 2023
Single-Cell Multimodal Prediction via Transformers Wenzhuo Tang Haifang Wen Renming Liu Jiayuan Ding Wei Jin Yuying Xie Hui Liu Jiliang Tang AI4CE 64 11 0 01 Mar 2023
Asymmetric Learning for Graph Neural Network based Link Prediction Kai-Lang Yao Wusuo Li 81 2 0 01 Mar 2023
HyScale-GNN: A Scalable Hybrid GNN Training System on Single-Node Heterogeneous Architecture Yi-Chien Lin Viktor Prasanna GNN 67 7 0 01 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 77 5 0 28 Feb 2023
A semantic backdoor attack against Graph Convolutional Networks Jiazhu Dai Zhipeng Xiong AAML 104 10 0 28 Feb 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach Mahmoud Nazzal Abdallah Khreishah Joyoung Lee Shaahin Angizi Ala I. Al-Fuqaha Mohsen Guizani 82 9 0 28 Feb 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 129 11 0 27 Feb 2023
A Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail Jamie McGowan Elizabeth Guest Ziyang Yan Cong Zheng Neha Patel Mason Cusack C. Donaldson Sofie De Cnudde G. Facini Fabon Dzogang 24 0 0 27 Feb 2023
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter Vanessa Cai Pradeep Prabakar Manuel Serrano Rebuelta Lucas Rosen Federico Monti ... Tomo Lazovich J. Raj Y. Shrinivasan Hao Li Thomas Markovich 107 1 0 27 Feb 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 122 8 0 27 Feb 2023
Hulk: Graph Neural Networks for Optimizing Regionally Distributed Computing Systems Zheng Yuan HU Xue Chaoyun Zhang Yongming Liu GNN AI4CE 39 1 0 27 Feb 2023
Learning Topology-Specific Experts for Molecular Property Prediction Seon Gyeom Kim Dongha Lee SeongKu Kang Seonghyeon Lee Hwanjo Yu AAML 52 13 0 27 Feb 2023
Graph-based Knowledge Distillation: A survey and experimental evaluation Jing Liu Tongya Zheng Guanzheng Zhang Qinfen Hao 71 8 0 27 Feb 2023
DeepSeq: Deep Sequential Circuit Learning Sadaf Khan Zhengyuan Shi Min Li Qiang Xu GNN 78 9 0 27 Feb 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 109 39 0 27 Feb 2023
Path Integral Based Convolution and Pooling for Heterogeneous Graph Neural Networks Lingjie Kong Yun Liao GNN 95 1 0 26 Feb 2023
Scalable Neural Network Training over Distributed Graphs Aashish Kolluri Sarthak Choudhary Bryan Hooi Prateek Saxena GNN 99 0 0 25 Feb 2023
Fair Attribute Completion on Graph with Missing Attributes Dongliang Guo Zhixuan Chu Sheng Li FaML 83 18 0 25 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 111 23 0 24 Feb 2023
Supervised Hierarchical Clustering using Graph Neural Networks for Speaker Diarization Prachi Singh Amrit Kaul Sriram Ganapathy BDL 68 8 0 24 Feb 2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks Chao Hu Ruishi Yu Binqi Zeng Yu Zhan Ying Fu Quan Zhang Rongkai Liu Heyuan Shi AAML 69 7 0 24 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 95 31 0 23 Feb 2023
A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots Boyang Zhang Xinlei He Yun Shen Tianhao Wang Yang Zhang AAML 117 3 0 23 Feb 2023
Catch Me If You Can: Semi-supervised Graph Learning for Spotting Money Laundering Md. Rezaul Karim Felix Hermsen S. Chala Paola de Perthuis Avikarsha Mandal 67 4 0 23 Feb 2023