Gated Graph Sequence Neural Networks

17 November 2015

Papers citing "Gated Graph Sequence Neural Networks"

50 / 1,389 papers shown

Title
A Survey on Graph Representation Learning Methods Shima Khoshraftar A. An GNN AI4TS 29 108 0 04 Apr 2022
Collaborative Transformers for Grounded Situation Recognition Junhyeong Cho Youngseok Yoon Suha Kwak ViT 25 25 0 30 Mar 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions Konstantinos Kogkalidis M. Moortgat 23 9 0 23 Mar 2022
Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges S. Thais P. Calafiura G. Chachamis G. Dezoort Javier Mauricio Duarte S. Ganguly Michael Kagan D. Murnane Mark S. Neubauer K. Terao PINN AI4CE 34 30 0 23 Mar 2022
Encoder-Decoder Architecture for Supervised Dynamic Graph Learning: A Survey Yuecai Zhu Fuyuan Lyu Chengming Hu X. Chen Xue Liu AI4TS AI4CE 21 20 0 20 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph Classification Jiayi Yang Sourav Medya Wei Ye 26 4 0 15 Mar 2022
Permutation Invariant Representations with Applications to Graph Deep Learning R. Balan Naveed Haghani M. Singh 25 25 0 14 Mar 2022
G $^3$ SR: Global Graph Guided Session-based Recommendation Zhiwei Deng Changdong Wang Ling Huang Jianhuang Lai Philip S. Yu 19 13 0 12 Mar 2022
Transition Relation Aware Self-Attention for Session-based Recommendation Guanghui Zhu Haojun Hou Jingfan Chen C. Yuan Jiaming Ji GNN 17 0 0 12 Mar 2022
Two-stream Hierarchical Similarity Reasoning for Image-text Matching Ran Chen Hanli Wang Lei Wang Sam Kwong 13 9 0 10 Mar 2022
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting Alessio Monti Angelo Porrello Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 23 48 0 09 Mar 2022
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber Rishab Goel Daniel Zheng Hugo Larochelle Daniel Tarlow 16 15 0 07 Mar 2022
Non-equilibrium molecular geometries in graph neural networks Ali Raza E. Henle Xiaoli Z. Fern AI4CE 23 0 0 07 Mar 2022
MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks Sicong Cao Xiaobing Sun Lili Bo Rongxin Wu Bin Li Chuanqi Tao 16 94 0 05 Mar 2022
Discontinuous Constituency and BERT: A Case Study of Dutch Konstantinos Kogkalidis G. Wijnholds 18 6 0 02 Mar 2022
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation Sina Sajadmanesh Ali Shahin Shamsabadi A. Bellet D. Gática-Pérez 24 63 0 02 Mar 2022
Descriptellation: Deep Learned Constellation Descriptors Chunwei Xing Xinyu Sun Andrei Cramariuc Samuel Gull Jen Jen Chung Cesar Cadena Roland Siegwart Florian Tschopp 23 1 0 01 Mar 2022
Graph Attention Retrospective K. Fountoulakis Amit Levi Shenghao Yang Aseem Baranwal Aukosh Jagannath GNN 18 35 0 26 Feb 2022
Path-Aware Graph Attention for HD Maps in Motion Prediction Fang Da Yu Zhang GNN 27 27 0 23 Feb 2022
Deep Graph Learning for Anomalous Citation Detection Jiaying Liu Feng Xia Xu Feng Jing Ren Huan Liu 24 41 0 23 Feb 2022
Learning Dynamics and Structure of Complex Systems Using Graph Neural Networks Zhe Li A. Tolias Xaq Pitkow AI4CE 37 3 0 22 Feb 2022
EIGNN: Efficient Infinite-Depth Graph Neural Networks Juncheng Liu Kenji Kawaguchi Bryan Hooi Yiwei Wang X. Xiao GNN 33 37 0 22 Feb 2022
From Quantum Graph Computing to Quantum Graph Learning: A Survey Yehui Tang Junchi Yan Hancock Edwin GNN 24 9 0 19 Feb 2022
Graph Spring Network and Informative Anchor Selection for Session-based Recommendation Zizhuo Zhang Bang-wei Wang 12 10 0 19 Feb 2022
Molecule Generation for Drug Design: a Graph Learning Perspective Nianzu Yang Huaijin Wu Xiaoyong Pan Ye Yuan Junchi Yan 19 13 0 18 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 30 12 0 17 Feb 2022
What Functions Can Graph Neural Networks Generate? Mohammad Fereydounian Hamed Hassani Amin Karbasi 27 4 0 17 Feb 2022
Code Search based on Context-aware Code Translation Dongrui Liu Chunrong Fang Yuchen Chen Guanhong Tao Ting Han Quanjun Zhang 39 50 0 16 Feb 2022
SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service Songlei Wang Yifeng Zheng Xiaohua Jia GNN 22 22 0 16 Feb 2022
Graph-adaptive Rectified Linear Unit for Graph Neural Networks Yifei Zhang Hao Zhu Ziqiao Meng Piotr Koniusz Irwin King 29 32 0 13 Feb 2022
InterHT: Knowledge Graph Embeddings by Interaction between Head and Tail Entities Baoxin Wang Qingye Meng Ziyue Wang Honghong Zhao Dayong Wu Wanxiang Che Shijin Wang Zhigang Chen Cong Liu 38 11 0 10 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 22 3 0 07 Feb 2022
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes Weixiao Gao Liangliang Nan B. Boom H. Ledoux 3DPC 16 24 0 07 Feb 2022
Network Calculus with Flow Prolongation -- A Feedforward FIFO Analysis enabled by ML Fabien Geyer Alexander Scheffler Steffen Bondorf 24 6 0 07 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series Usman Mahmood Z. Fu Vince D. Calhoun Sergey Plis 41 3 0 04 Feb 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks Zhaoning Yu Hongyang Gao 34 40 0 01 Feb 2022
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism Siqi Miao Miaoyuan Liu Pan Li 14 197 0 31 Jan 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 15 1 0 29 Jan 2022
Compositionality-Aware Graph2Seq Learning Takeshi D. Itoh Takatomi Kubo K. Ikeda 11 0 0 28 Jan 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 24 16 0 28 Jan 2022
A Method to Predict Semantic Relations on Artificial Intelligence Papers Francisco Andrades Ricardo Ñanculef GNN 11 0 0 24 Jan 2022
Learning Graph Augmentations to Learn Graph Representations Kaveh Hassani Amir Hosein Khas Ahmadi 51 21 0 24 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 38 24 0 20 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 16 31 0 20 Jan 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing Nan Wu Hang Yang Yuan Xie Pan Li Cong Hao 28 53 0 18 Jan 2022
Assemble Foundation Models for Automatic Code Summarization Jian Gu P. Salza H. Gall 33 34 0 13 Jan 2022
Representing Videos as Discriminative Sub-graphs for Action Recognition Dong Li Zhaofan Qiu Yingwei Pan Ting Yao Houqiang Li Tao Mei 42 25 0 11 Jan 2022
Stratified Graph Spectra Fanchao Meng M. Orr Samarth Swarup 21 0 0 10 Jan 2022
Graph Neural Networks: a bibliometrics overview Abdalsamad Keramatfar Mohadeseh Rafiee Hossein Amirkhani GNN AI4CE 39 24 0 03 Jan 2022