Modeling Relational Data with Graph Convolutional Networks

17 March 2017

Papers citing "Modeling Relational Data with Graph Convolutional Networks"

50 / 514 papers shown

Title
Knowledge Graphs Querying Arijit Khan 26 16 0 23 May 2023
Road Planning for Slums via Deep Reinforcement Learning Y. Zheng Hongyuan Su Jingtao Ding Depeng Jin Yong Li 9 12 0 22 May 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design Zaixin Zhang Qi Liu 27 34 0 22 May 2023
Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness Yuxuan Zhou Zhi-Qi Cheng Ju He Bin Luo Yifeng Geng Xuansong Xie 29 11 0 19 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 16 7 0 19 May 2023
Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement Samuel Mensah Kai Sun Nikolaos Aletras 19 1 0 18 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks Xinyu Fu Irwin King FedML 30 3 0 16 May 2023
A Knowledge Graph Perspective on Supply Chain Resilience Yushan Liu Bailan He Marcel Hildebrandt Maximilian Buchner Daniela Inzko Roger Wernert Emanuel Weigel Dagmar Beyer Martin Berbalk Volker Tresp 22 5 0 15 May 2023
AGFormer: Efficient Graph Representation with Anchor-Graph Transformer Bo Jiang Fei Xu Ziyan Zhang Jin Tang Feiping Nie 31 4 0 12 May 2023
Unraveling the MEV Enigma: ABI-Free Detection Model using Graph Neural Networks Seongwan Park Woo-Kyoung Jeong Yunyoung Lee B. Son H. Jang Jaewook Lee 27 6 0 10 May 2023
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang Yuzhen Mao Yujun Yan Yaoqing Yang Jianhui Sun ... Si Zhang Alison Hu Edward Bowen Tyler Cody Dawei Zhou 44 2 0 01 May 2023
Bi-Level Attention Graph Neural Networks Roshni G. Iyer Wen Wang Yizhou Sun GNN 23 17 0 23 Apr 2023
Exploring 360-Degree View of Customers for Lookalike Modeling Md. Mostafizur Rahman Daisuke Kikuta Satyen Abrol Yuya Hirate Toyotaro Suzumura Pablo S. Loyola Takuma Ebisu Manoj Kondapaka 19 5 0 17 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 34 14 0 12 Apr 2023
Zero-shot Temporal Relation Extraction with ChatGPT Chenhan Yuan Qianqian Xie Sophia Ananiadou 26 75 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 37 141 0 11 Apr 2023
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs Maolin Luo Xiang Zhang 11 0 0 03 Apr 2023
Joint embedding in Hierarchical distance and semantic representation learning for link prediction Jin Liu Jianye Chen Chongfeng Fan Feng Zhou 11 0 0 28 Mar 2023
Knowledge Graphs: Opportunities and Challenges Ciyuan Peng Feng Xia Mehdi Naseriparsa Francesco Osborne 22 240 0 24 Mar 2023
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering Debayan Banerjee Pranav Ajit Nair Ricardo Usbeck Chris Biemann 21 9 0 23 Mar 2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models Kechi Zhang Zhuo Li Zhi Jin Ge Li 21 7 0 14 Mar 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 31 3 0 07 Mar 2023
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning Haoteng Yin Muhan Zhang Jianguo Wang Pan Li 61 8 0 06 Mar 2023
Connectivity Optimized Nested Graph Networks for Crystal Structures R. Ruff Patrick Reiser Jan Stuhmer Pascal Friederich GNN 26 10 0 27 Feb 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research Arpandeep Khatua Vikram Sharma Mailthody Bhagyashree Taleka Tengfei Ma Xiang Song Wen-mei W. Hwu AI4CE 42 37 0 27 Feb 2023
FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering Qichen Ye Bowen Cao Nuo Chen Weiyuan Xu Yuexian Zou 18 16 0 23 Feb 2023
GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method Xing Tang Ling-Hao Chen AI4TS 14 4 0 22 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 28 12 0 14 Feb 2023
RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL Haoyang Li Jing Zhang Cuiping Li Hong Chen 16 170 0 12 Feb 2023
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters Sébastien Montella Alexis Nasr Johannes Heinecke Frédéric Béchet L. Rojas-Barahona 26 2 0 12 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational Model Xingwei Tan Gabriele Pergola Yulan He AI4TS 27 6 0 10 Feb 2023
An entity-guided text summarization framework with relational heterogeneous graph neural network Jingqiang Chen 15 4 0 07 Feb 2023
A Pre-training Framework for Knowledge Graph Completion Kuan Xu Kuo Yang Hanyang Dong Xinyan Wang Jian Yu Xuezhong Zhou 10 0 0 06 Feb 2023
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs Xingyue Huang Miguel Romero .Ismail .Ilkan Ceylan Pablo Barceló 32 24 0 04 Feb 2023
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning Xiangrong Zhu Guang-pu Li Wei Hu MU FedML 25 46 0 04 Feb 2023
Knowledge Distillation on Graphs: A Survey Yijun Tian Shichao Pei Xiangliang Zhang Chuxu Zhang Nitesh V. Chawla 18 28 0 01 Feb 2023
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs Han-Sung Kim Jian Cui Eugene Jang Chanhee Lee Yongjae Lee Jin-Woo Chung Seung-Eui Shin GNN 21 8 0 31 Jan 2023
Automatic Intersection Management in Mixed Traffic Using Reinforcement Learning and Graph Neural Networks Marvin Klimke Benjamin Völz M. Buchholz 33 13 0 30 Jan 2023
RCsearcher: Reaction Center Identification in Retrosynthesis via Deep Q-Learning Zixun Lan Zuo Zeng Binjie Hong Zhenfu Liu Fei Ma 21 10 0 28 Jan 2023
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately Xin Cheng Shen Gao Yuchi Zhang Yongliang Wang Xiuying Chen Mingzhe Li Dongyan Zhao Rui Yan 18 10 0 27 Jan 2023
Open Problems in Applied Deep Learning M. Raissi AI4CE 34 2 0 26 Jan 2023
DoubleH: Twitter User Stance Detection via Bipartite Graph Neural Networks Chong Zhang Zhenkun Zhou X. Peng Ke Xu 19 3 0 20 Jan 2023
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training Kezhao Huang Haitian Jiang Minjie Wang Guangxuan Xiao David Wipf Xiang Song Quan Gan Zengfeng Huang Jidong Zhai Zheng-Wei Zhang GNN 25 2 0 18 Jan 2023
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Jie Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 29 5 0 14 Jan 2023
CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis Kaizhong Zheng Shujian Yu Badong Chen CML 25 31 0 04 Jan 2023
Analogical Inference Enhanced Knowledge Graph Embedding Zhen Yao Wen Zhang Mingyang Chen Yufen Huang Yezhou Yang Hua-zeng Chen 36 12 0 03 Jan 2023
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation Han Huang Leilei Sun Bowen Du Weifeng Lv 40 40 0 01 Jan 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi Walid Masoudimansour Yingxue Zhang Jie Chuai Zhitang Chen Mark J. Coates Jianye Hao Yanhui Geng 40 1 0 29 Dec 2022
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 36 88 0 27 Dec 2022