Modeling Relational Data with Graph Convolutional Networks

17 March 2017

Papers citing "Modeling Relational Data with Graph Convolutional Networks"

50 / 514 papers shown

Title
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 24 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 8 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 26 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 88 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 99 114 0 19 Oct 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs Jing Zhang Bo Chen Lingxi Zhang Xirui Ke Haipeng Ding NAI 27 3 0 12 Oct 2020
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion Hao Huang Guodong Long Tao Shen Jing Jiang Chengqi Zhang 11 9 0 10 Oct 2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking M. Schlichtkrull Nicola De Cao Ivan Titov AI4CE 31 214 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 27 225 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 13 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
Message Passing for Hyper-Relational Knowledge Graphs Mikhail Galkin Priyansh Trivedi Gaurav Maheshwari Ricardo Usbeck Jens Lehmann 27 113 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 21 25 0 21 Sep 2020
Federated Dynamic GNN with Secure Aggregation Meng-Long Jiang Taeho Jung Ryan Karl Tong Zhao FedML 11 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 6 17 0 09 Sep 2020
Convolutional Complex Knowledge Graph Embeddings Caglar Demir A. N. Ngomo 19 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 49 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
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 26 67 0 16 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 35 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 28 314 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 24 121 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 14 280 0 17 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 13 43 0 17 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca S. Zafeiriou M. Bronstein 46 423 0 16 Jun 2020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering Zihao Zhu J. Yu Yujing Wang Yajing Sun Yue Hu Qi Wu 19 125 0 16 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 37 31 0 15 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Zhiqiang Zhang Jun Zhou Shuang Yang Le Song Yuan Qi 23 47 0 10 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 15 660 0 09 Jun 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 24 171 0 27 May 2020
Neighborhood Matching Network for Entity Alignment Yuting Wu Xiao Liu Yansong Feng Zheng Wang Dongyan Zhao 23 124 0 12 May 2020
Understanding Dynamic Scenes using Graph Convolution Networks Sravan Mylavarapu Mahtab Sandhu Priyesh Vijayan K. M. Krishna Balaraman Ravindran A. Namboodiri 14 30 0 09 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 30 2,646 0 02 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 16 3 0 28 Apr 2020
Contextualised Graph Attention for Improved Relation Extraction Angrosh Mandya Danushka Bollegala Frans Coenen GNN 18 6 0 22 Apr 2020
In-Machine-Learning Database: Reimagining Deep Learning with Old-School SQL Len Du OOD 13 5 0 11 Apr 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning Zekarias T. Kefato Sarunas Girdzijauskas 16 7 0 30 Mar 2020
A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi Minkai Xu Hongyu Guo Ming Zhang Jian Tang 14 151 0 28 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 27 170 0 27 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs Zequn Sun Qingheng Zhang Wei Hu Chengming Wang Muhao Chen F. Akrami Chengkai Li 19 242 0 10 Mar 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution Sankalp Garg Navodita Sharma Woojeong Jin Xiang Ren AI4TS 22 8 0 09 Mar 2020
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 27 11 0 07 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020