Modeling Relational Data with Graph Convolutional Networks

17 March 2017

Papers citing "Modeling Relational Data with Graph Convolutional Networks"

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Title
LayoutGMN: Neural Graph Matching for Structural Layout Similarity A. Patil Manyi Li Matthew Fisher Manolis Savva Hao Zhang 33 32 0 11 Dec 2020
Improving Zero Shot Learning Baselines with Commonsense Knowledge Abhinaba Roy Deepanway Ghosal Erik Cambria Navonil Majumder Rada Mihalcea Soujanya Poria BDL VLM 30 29 0 11 Dec 2020
Infusing Finetuning with Semantic Dependencies Zhaofeng Wu Hao Peng Noah A. Smith 25 36 0 10 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 27 36 0 09 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 294 0 30 Nov 2020
Auto Graph Encoder-Decoder for Neural Network Pruning Sixing Yu Arya Mazaheri Ali Jannesari GNN 27 38 0 25 Nov 2020
VLG-Net: Video-Language Graph Matching Network for Video Grounding Mattia Soldan Mengmeng Xu Sisi Qu Jesper N. Tegnér Guohao Li 35 69 0 19 Nov 2020
Tucker decomposition-based Temporal Knowledge Graph Completion Pengpeng Shao Guohua Yang Dawei Zhang J. Tao Feihu Che Tong Liu 32 83 0 16 Nov 2020
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors Linlin Chao Jianshan He Taifeng Wang Wei Chu 13 161 0 07 Nov 2020
Relational Graph Learning on Visual and Kinematics Embeddings for Accurate Gesture Recognition in Robotic Surgery Yonghao Long J. Wu Bo Lu Yueming Jin Mathias Unberath Yunhui Liu Pheng Ann Heng Qi Dou 21 39 0 03 Nov 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 18 15 0 29 Oct 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing Hanlu Wu Tengfei Ma Lingfei Wu S. Ji FedML 13 11 0 25 Oct 2020
Deep Graph Matching and Searching for Semantic Code Retrieval Xiang Ling Lingfei Wu Sai-gang Wang Gaoning Pan Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji GNN 33 91 0 24 Oct 2020
FedE: Embedding Knowledge Graphs in Federated Setting Mingyang Chen Wen Zhang Zonggang Yuan Yantao Jia Huajun Chen FedML 11 76 0 24 Oct 2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation Mrigank Raman Aaron Chan Siddhant Agarwal Peifeng Wang Hansen Wang Sungchul Kim Ryan Rossi Handong Zhao Nedim Lipka Xiang Ren 36 19 0 24 Oct 2020
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing Chunchuan Lyu Shay B. Cohen Ivan Titov 38 11 0 23 Oct 2020
Knowledge Graph Embedding with Atrous Convolution and Residual Learning Feiliang Ren Jucheng Li Huihui Zhang Shilei Liu Bochao Li Ruicheng Ming Yujia Bai 19 34 0 23 Oct 2020
MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences Jianing Yang Yongxin Wang Ruitao Yi Yuying Zhu Azaan Rehman Amir Zadeh Soujanya Poria Louis-Philippe Morency 34 11 0 22 Oct 2020
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs Hongyu Ren J. Leskovec BDL 23 206 0 22 Oct 2020
Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks Xiachong Feng Xiaocheng Feng Bing Qin Ting Liu 97 49 0 20 Oct 2020
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion Jiawei Sheng Shu Guo Zhenyu Chen Juwei Yue Lihong Wang Tingwen Liu Hongbo Xu 107 114 0 19 Oct 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs Jing Zhang Bo Chen Lingxi Zhang Xirui Ke Haipeng Ding NAI 35 3 0 12 Oct 2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion Hao Huang Guodong Long Tao Shen Jing Jiang Chengqi Zhang 21 9 0 10 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 33 214 0 01 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 30 225 0 30 Sep 2020
RTFE: A Recursive Temporal Fact Embedding Framework for Temporal Knowledge Graph Completion Youri Xu H. E Meina Song Wenyu Song Xiaodong Lv Haotian Wang Jinrui Yang 16 24 0 30 Sep 2020
Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks Douglas De Rizzo Meneghetti Reinaldo A. C. Bianchi 22 9 0 28 Sep 2020
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding Guanglin Niu Bo-wen Li Yongfei Zhang Shiliang Pu Jingyang Li 22 20 0 25 Sep 2020
Message Passing for Hyper-Relational Knowledge Graphs Mikhail Galkin Priyansh Trivedi Gaurav Maheshwari Ricardo Usbeck Jens Lehmann 35 113 0 22 Sep 2020
Global-to-Local Neural Networks for Document-Level Relation Extraction D. Wang Wei Hu E. Cao Weijian Sun NAI 18 118 0 22 Sep 2020
Multi-Modal Reasoning Graph for Scene-Text Based Fine-Grained Image Classification and Retrieval Andrés Mafla S. Dey Ali Furkan Biten Lluís Gómez Dimosthenis Karatzas 27 25 0 21 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng Jiang Taeho Jung Ryan Karl Tong Zhao FedML 16 31 0 15 Sep 2020
A Toolkit to Generate Social Navigation Datasets Rishabh Baghel Aditya Kapoor P. Bachiller Ronit R. Jorvekar Daniel Rodriguez-Criado Luis J. Manso 19 9 0 11 Sep 2020
Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs Gilles Vandewiele Bram Steenwinckel P. Bonte Michael Weyns Heiko Paulheim Petar Ristoski F. Turck F. Ongenae 16 17 0 09 Sep 2020
Convolutional Complex Knowledge Graph Embeddings Caglar Demir A. N. Ngomo 24 44 0 07 Aug 2020
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network Haotian Li Huan Wei Yong Wang Yangqiu Song Huamin Qu AI4Ed 51 30 0 04 Aug 2020
Boundary Content Graph Neural Network for Temporal Action Proposal Generation Y. Bai Yingying Wang Yunhai Tong Yang Yang Qiyue Liu Junhui Liu 25 161 0 04 Aug 2020
Multi-camera Torso Pose Estimation using Graph Neural Networks Daniel Rodriguez-Criado P. Bachiller Pablo Bustos George Vogiatzis Luis J. Manso 3DH 12 5 0 28 Jul 2020
Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing V. Ioannidis Da Zheng George Karypis 8 50 0 20 Jul 2020
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation Cheng Ouyang C. Biffi Chia-Ju Chen Turkay Kart Huaqi Qiu Daniel Rueckert 22 205 0 20 Jul 2020
Improving the Long-Range Performance of Gated Graph Neural Networks Denis Lukovnikov Jens Lehmann Asja Fischer GNN 19 6 0 19 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 42 67 0 16 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 41 17 0 13 Jul 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 19 40 0 10 Jul 2020
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion Kun Zhou Wayne Xin Zhao Shuqing Bian Yuanhang Zhou Ji-Rong Wen Jingsong Yu 39 315 0 08 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 29 121 0 07 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 18 547 0 27 Jun 2020
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei-Yue Wang BDL 28 280 0 17 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 21 43 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 58 424 0 16 Jun 2020