GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent SoftwareDemonstration
Graph Neural Networks (GNNs) have recently shown to be powerful tools for representing and analyzing graph data. So far GNNs is becoming an increasingly critical role in software engineering including program analysis, type inference, and code representation. In this paper, we introduce GraphGallery, a platform for fast benchmarking and easy development of GNNs based software. GraphGallery is an easy-to-use platform that allows developers to automatically deploy GNNs even with less domain-specific knowledge. It offers a set of implementations of common GNN models based on mainstream deep learning frameworks. In addition, existing GNNs toolboxes such as PyG and DGL can be easily incorporated into the platform. Experiments demonstrate the reliability of implementations and superiority in fast coding. The official source code of GraphGallery is available at https://github.com/EdisonLeeeee/GraphGallery and a demo video can be found at https://youtu.be/mv7Zs1YeaYo.
Wed 26 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:45 - 11:15 | 2.1. Evolution 1DEMO - Demonstrations at Demonstration Room Chair(s): Giuseppe Scanniello University of Basilicata Each demo makes a 1-minute presentation (displayed in the Demonstration room). At the end of each presentation, a breakout room will be created for each demo. Attendees will be able to join and discuss with the authors. | ||
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10:45 30mDemonstration | AndroEvolve: Automated Update for Android Deprecated-API UsagesDemonstration DEMO - Demonstrations Stefanus Agus Haryono Singapore Management University, Ferdian Thung , David Lo Singapore Management University, Lingxiao Jiang Singapore Management University, Julia Lawall Inria, Hong Jin Kang , Lucas Serrano Sorbonne University/Inria/LIP6, Gilles Muller Inria Pre-print Media Attached | ||
10:45 30mDemonstration | GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent SoftwareDemonstration DEMO - Demonstrations Jintang Li Sun Yat-sen University, Kun Xu Sun Yat-sen University, Liang Chen School of Data and Computer Science, Sun Yat-sen University, Zibin Zheng School of Data and Computer Science, Sun Yat-sen University, Xiao Liu School of Information Technology, Deakin University Pre-print Media Attached | ||
10:45 30mDemonstration | BLOCKEYE: Hunting For DeFi Attacks on BlockchainDemonstration DEMO - Demonstrations Bin Wang Oxford-Hainan Blockchain Research Institute, Hainan, China, Han Liu Tsinghua University, Chao Liu Oxford-Hainan Blockchain Research Institute, Hainan, China, Zhiqiang Yang Oxford-Hainan Blockchain Research Institute, Qian Ren Oxford-Hainan Blockchain Research Institute, Hainan, China, Huixuan Zheng Oxford-Hainan Blockchain Research Institute, Hong Lei Oxford-Hainan Blockchain Research Institute, Hainan, China Pre-print Media Attached | ||
10:45 30mDemonstration | APIScanner - Towards Automated Detection of Deprecated APIs in Python LibrariesDemonstration DEMO - Demonstrations Aparna Vadlamani Indian Institute of Technology Tirupati, Rishitha Kalicheti Indian Institute of Technology Tirupati, Sridhar Chimalakonda Indian Institute of Technology Tirupati Link to publication Pre-print Media Attached |