Fast Graph Representation Learning with PyTorch Geometric

6 March 2019

Papers citing "Fast Graph Representation Learning with PyTorch Geometric"

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Title
Link Prediction using Graph Neural Networks for Master Data Management Balaji Ganesan Srinivas Parkala Neeraj R Singh Sumit Bhatia Gayatri Mishra Matheen Ahmed Pasha Hima Patel Somashekar Naganna AI4CE 19 11 0 07 Mar 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar 11 696 0 07 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 19 12 0 04 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 183 1,169 0 03 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020
Towards a predictive spatio-temporal representation of brain data Tiago Azevedo L. Passamonti Pietro Lió N. Toschi 9 9 0 29 Feb 2020
An End-to-End Graph Convolutional Kernel Support Vector Machine P. Corcoran 10 5 0 29 Feb 2020
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 8 37 0 27 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 11 134 0 25 Feb 2020
Adaptive Propagation Graph Convolutional Network Indro Spinelli Simone Scardapane A. Uncini GNN 11 71 0 24 Feb 2020
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree Wenhan Wang Ge Li Bo Ma Xin Xia Zhi Jin GNN 7 249 0 20 Feb 2020
On Learning Sets of Symmetric Elements Haggai Maron Or Litany Gal Chechik Ethan Fetaya 20 132 0 20 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 7 607 0 19 Feb 2020
Self-Enhanced GNN: Improving Graph Neural Networks Using Model Outputs Han Yang Xiao Yan XINYAN DAI Yongqiang Chen James Cheng 6 36 0 18 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 9 482 0 12 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 37 319 0 10 Feb 2020
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting Shuo Wang Yanran Li Jiang Zhang Qingye Meng Lingwei Meng Fei Gao 25 134 0 10 Feb 2020
GLSearch: Maximum Common Subgraph Detection via Learning to Search Yunsheng Bai Derek Xu Yizhou Sun Wei Wang GNN 12 31 0 08 Feb 2020
Message Passing Query Embedding Daniel Daza Michael Cochez GNN 17 7 0 06 Feb 2020
Structure-Feature based Graph Self-adaptive Pooling Liang Zhang Xudong Wang Hongsheng Li Guangming Zhu Peiyi Shen P. Li Xiaoyuan Lu Syed Afaq Ali Shah Bennamoun 16 62 0 30 Jan 2020
Modeling Global and Local Node Contexts for Text Generation from Knowledge Graphs Leonardo F. R. Ribeiro Yue Zhang Claire Gardent Iryna Gurevych 12 72 0 29 Jan 2020
Tri-graph Information Propagation for Polypharmacy Side Effect Prediction Hao Xu Shengqi Sang Haiping Lu 10 13 0 28 Jan 2020
Characterizing and Understanding GCNs on GPU Mingyu Yan Zhaodong Chen Lei Deng Xiaochun Ye Zhimin Zhang Dongrui Fan Yuan Xie BDL GNN 9 62 0 28 Jan 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 19 207 0 27 Jan 2020
Linking Bank Clients using Graph Neural Networks Powered by Rich Transactional Data Valentina Shumovskaia Kirill Fedyanin I. Sukharev Dmitry Berestnev Maxim Panov 6 26 0 23 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Mingyu Yan Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Dongrui Fan Yuan Xie GNN 22 287 0 07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 32 276 0 29 Dec 2019
How Robust Are Graph Neural Networks to Structural Noise? James Fox S. Rajamanickam NoLa OOD 10 21 0 21 Dec 2019
A Fair Comparison of Graph Neural Networks for Graph Classification Federico Errica Marco Podda D. Bacciu A. Micheli FaML 8 436 0 20 Dec 2019
When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation Tian Lan Xian-Ling Mao Heyan Huang Wei Wei 14 5 0 20 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction David Friede Jovita Lukasik Heiner Stuckenschmidt M. Keuper GNN BDL DRL 14 8 0 11 Dec 2019
SGAS: Sequential Greedy Architecture Search G. Li Guocheng Qian Itzel C. Delgadillo Matthias Muller Ali K. Thabet Bernard Ghanem 3DPC 17 183 0 30 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 19 96 0 17 Nov 2019
On the choice of graph neural network architectures Clément Vignac Guillermo Ortiz-Jiménez P. Frossard GNN 22 9 0 13 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network Deli Chen Xiaoqian Liu Yankai Lin Peng Li Jie Zhou Qi Su Xu Sun GNN 15 2 0 10 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth Soumya Sanyal Vikram Nitin Partha P. Talukdar GNN 11 809 0 08 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 20 122 0 31 Oct 2019
Balancing Multi-level Interactions for Session-based Recommendation Yujia Zheng Siyi Liu Zailei Zhou 14 12 0 29 Oct 2019
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions Fabio Capela Vincent Nouchi R. V. Deursen Igor V. Tetko Guillaume Godin AI4CE 11 19 0 29 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 20 681 0 28 Oct 2019
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov E. Burnaev FaML AI4CE 19 37 0 26 Oct 2019
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Prediction Daniel T. Chang AI4CE GNN 12 3 0 24 Oct 2019
Graph Representation learning for Audio & Music genre Classification Shubham Dokania Vasudev Singh GNN 20 8 0 23 Oct 2019
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics Taras Khakhulin R. Schutski Ivan V. Oseledets 17 0 0 18 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs G. Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Bernard Ghanem 3DPC GNN 24 167 0 15 Oct 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data Ziang Zhou Jieming Shi Shengzhong Zhang Zengfeng Huang Qing Li 23 12 0 07 Oct 2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks Tengfei Ma Junyuan Shang Cao Xiao Jimeng Sun GNN 17 13 0 04 Oct 2019
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection Thomas Magelinski David M. Beskow Kathleen M. Carley 17 27 0 02 Oct 2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving M. Huegle Gabriel Kalweit M. Werling Joschka Boedecker 3DPC 17 36 0 30 Sep 2019
Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification Albert Mosella-Montoro Javier Ruiz-Hidalgo 3DPC 23 8 0 30 Sep 2019