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Gated Graph Sequence Neural Networks

17 November 2015

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,396 papers shown

Title
Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes Yuta Sumiya Ryusei Numata Satoshi Takahashi 28 0 0 06 Jun 2023
Learning Similarity among Users for Personalized Session-Based Recommendation from hierarchical structure of User-Session-Item J. Cha Haemin Jeong Wooju Kim 19 0 0 05 Jun 2023
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities Tiehua Zhang Ruiqian Xu Jianping Zhang Yuze Liu Xin Chen Jun-Jian Yin Xi Zheng 118 2 0 02 Jun 2023
Learning Representations without Compositional Assumptions Tennison Liu Jeroen Berrevoets Zhaozhi Qian M. Schaar OCL SSL 72 1 0 31 May 2023
Graph Rewriting for Graph Neural Networks Adam M. Machowczyk R. Heckel 46 3 0 29 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh Xinming Zhang Jing Chen BDL 91 7 0 26 May 2023
Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification Using Graph Neural Networks? M. Bugueño Gerard de Melo AI4CE 54 3 0 23 May 2023
Sequential Graph Neural Networks for Source Code Vulnerability Identification Ammar Ahmed Anwar Said Mudassir Shabbir X. Koutsoukos GNN 43 2 0 23 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Zheng Xie Yu Liu Hao He Ming Li Zhi Zhou NoLa 86 6 0 23 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 98 29 0 23 May 2023
Instant Representation Learning for Recommendation over Large Dynamic Graphs Cheng Wu Chao-Hong Wang Jingcao Xu Ziwei Fang Tiankai Gu Changping Wang Yang Song Kai Zheng Xiaowei Wang Guorui Zhou AI4TS 75 6 0 22 May 2023
EE-TTS: Emphatic Expressive TTS with Linguistic Information Yifan Zhong Chen Zhang Xule Liu Chenxi Sun Weishan Deng Haifeng Hu Zhongqian Sun 49 3 0 20 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 131 71 0 17 May 2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study V. Nguyen Truong-Son Hy Long Tran-Thanh N. Nghiem 93 8 0 12 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 77 5 0 12 May 2023
Word Grounded Graph Convolutional Network Zhibin Lu Qianqian Xie Benyou Wang J. Nie OOD GNN 50 0 0 10 May 2023
Graph Neural Networks and 3-Dimensional Topology Pavel Putrov Song Jin Ri 52 4 0 10 May 2023
Materials Informatics: An Algorithmic Design Rule B. Bishnoi 58 0 0 05 May 2023
Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching Tim Kaler A. Iliopoulos P. Murzynowski Tao B. Schardl C. E. Leiserson Jie Chen GNN 82 16 0 04 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning E. Lee Joyce C. Ho 77 2 0 04 May 2023
Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features Saurabh Sihag Fangchang Ma Corey McMillan Angela Dai 114 3 0 02 May 2023
BrainNPT: Pre-training of Transformer networks for brain network classification Jinlong Hu Ya-Lin Huang Nan Wang Shoubin Dong ViT MedIm 107 8 0 02 May 2023
Performance Optimization using Multimodal Modeling and Heterogeneous GNN Akashnil Dutta J. Alcaraz Ali TehraniJamsaz E. César A. Sikora Ali Jannesari 77 10 0 25 Apr 2023
Graph Neural Networks for Text Classification: A Survey Kunze Wang Yihao Ding S. Han FaML GNN 99 29 0 23 Apr 2023
Medium. Permeation: SARS-COV-2 Painting Creation by Generative Model Yuanfu Yang Iuan-Kai Fang Min Sun S. Hsu MedIm 74 0 0 22 Apr 2023
What Do GNNs Actually Learn? Towards Understanding their Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis GNN AI4CE 63 1 0 21 Apr 2023
Smart Learning to Find Dumb Contracts (Extended Version) Tamer Abdelaziz Aquinas Hobor 69 7 0 21 Apr 2023
Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick Xiyuan Wang Pan Li Muhan Zhang AI4CE 57 4 0 20 Apr 2023
NPS: A Framework for Accurate Program Sampling Using Graph Neural Network Yuanwei Fang Zihao Liu YanHeng Lu Jiawei Liu Jiajie Li Yingqi Jin Jing Chen Yen-kuang Chen Hongzhong Zheng Yuan Xie MLAU 46 3 0 18 Apr 2023
An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph Nafis Tanveer Islam G. Parra Dylan Manuel E. Bou-Harb Peyman Najafirad 85 10 0 17 Apr 2023
Adaptive Gated Graph Convolutional Network for Explainable Diagnosis of Alzheimer's Disease using EEG Data D. Klepl F. He M. Wu D. Blackburn P. Sarrigiannis 69 25 0 12 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 83 19 0 12 Apr 2023
SGDP: A Stream-Graph Neural Network Based Data Prefetcher Yiyuan Yang Rongshang Li Qiquan Shi Xijun Li Gang Hu Xing Li Mingxuan Yuan AI4TS 59 5 0 07 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 129 47 0 04 Apr 2023
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection Yizheng Chen Zhoujie Ding Lamya Alowain Xinyun Chen David Wagner AAML 113 160 0 01 Apr 2023
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis Haoyu He Yuede Ji H. H. Huang 63 21 0 26 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) U. Nazir W. Islam M. Taj 76 3 0 25 Mar 2023
Distill n' Explain: explaining graph neural networks using simple surrogates Tamara A. Pereira Erik Nasciment Lucas Resck Diego Mesquita Amauri Souza 90 17 0 17 Mar 2023
Causal Temporal Graph Convolutional Neural Networks (CTGCN) Abigail Langbridge Fearghal O'Donncha Amadou Ba Fabio Lorenzi Christopher Lohse J. Ploennigs GNN 48 1 0 16 Mar 2023
Performance Embeddings: A Similarity-based Approach to Automatic Performance Optimization Lukas Trumper Tal Ben-Nun Philipp Schaad A. Calotoiu Torsten Hoefler 95 0 0 14 Mar 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 64 8 0 14 Mar 2023
xASTNN: Improved Code Representations for Industrial Practice Zhiwei Xu Min Zhou Xibin Zhao Yang Chen Xi Cheng Hongyu Zhang AI4TS 96 5 0 13 Mar 2023
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules Samuel Goldman John Bradshaw Jiayi Xin Connor W. Coley 111 14 0 11 Mar 2023
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models? Boris Knyazev Doha Hwang Simon Lacoste-Julien AI4CE 88 21 0 07 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
Wind Turbine Gearbox Fault Detection Based on Sparse Filtering and Graph Neural Networks Jinsong Wang K. Loparo 30 0 0 06 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 80 3 0 01 Mar 2023
IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction Dekai Zhu Guangyao Zhai Yan Di Fabian Manhardt Hendrik Berkemeyer Tuan Tran Nassir Navab F. Tombari Benjamin Busam 95 18 0 01 Mar 2023
Learnable Topological Features for Phylogenetic Inference via Graph Neural Networks Cheng Zhang 70 14 0 17 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 88 18 0 17 Feb 2023