Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach

18 June 2017

Papers citing "Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach"

50 / 53 papers shown

Title
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations Thijmen Nijdam Juell Sprott Taiki Papandreou-Lazos Jurgen de Heus 29 0 0 31 Aug 2024
Predicting from a Different Perspective: A Re-ranking Model for Inductive Knowledge Graph Completion Yuki Iwamoto Ken Kameiwa 42 1 0 27 May 2024
Prompt-fused framework for Inductive Logical Query Answering Zezhong Xu Peng Ye Lei Liang Hua-zeng Chen Wen Zhang 25 1 0 19 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors Yongquan He Zhihan Wang Peng Zhang Zhaopeng Tu Z. Ren 37 20 0 21 Feb 2024
From Images to Connections: Can DQN with GNNs learn the Strategic Game of Hex? Yannik Keller Jannis Blüml Gopika Sudhakaran Kristian Kersting GNN 27 0 0 22 Nov 2023
HD-GCN:A Hybrid Diffusion Graph Convolutional Network Zhi Yang Kang Li Haitao Gan Zhongwei Huang Ming Shi GNN 34 2 0 31 Mar 2023
Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs Mingyang Chen Wen Zhang Yuxia Geng Zezhong Xu Jeff Z. Pan Hua-zeng Chen 24 18 0 03 Feb 2023
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 36 4 0 28 Nov 2022
Relation-dependent Contrastive Learning with Cluster Sampling for Inductive Relation Prediction Jianfeng Wu Sijie Mai Haifeng Hu 24 0 0 22 Nov 2022
RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs Genet Asefa Gesese Harald Sack Mehwish Alam 33 22 0 21 Nov 2022
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs Ruijie Wang Zheng Li Dachun Sun Shengzhong Liu Jinning Li Bing Yin Tarek F. Abdelzaher OffRL 23 41 0 16 Oct 2022
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities Yuanning Cui Yuxin Wang Zequn Sun Wenqiang Liu Yiqiao Jiang Kexin Han Wei Hu LRM 30 14 0 22 Aug 2022
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs Yuxin Wang Yuanning Cui Wenqiang Liu Zequn Sun Yiqiao Jiang Kexin Han Wei Hu 29 9 0 23 Jul 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Mingyang Chen Wen Zhang Zhen Yao Xian-gan Chen Mengxiao Ding Fei Huang Huajun Chen FedML 31 26 0 10 May 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey Jiaoyan Chen Yuxia Geng Zhuo Chen Jeff Z. Pan Yuan He Wen Zhang Ian Horrocks Hua-zeng Chen 30 43 0 18 Dec 2021
BGL: GPU-Efficient GNN Training by Optimizing Graph Data I/O and Preprocessing Tianfeng Liu Yangrui Chen Dan Li Chuan Wu Yibo Zhu Jun He Size Zheng Hongzheng Chen Hongzhi Chen Chuanxiong Guo GNN 34 77 0 16 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 29 6 0 04 Dec 2021
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks Zhehao Zhao Bo Yang Ge Li Huai Liu Zhi Jin 15 21 0 20 Nov 2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding Mingyang Chen Wen Zhang Yushan Zhu Hongting Zhou Zonggang Yuan Changliang Xu Hua-zeng Chen 27 56 0 27 Oct 2021
HR-RCNN: Hierarchical Relational Reasoning for Object Detection Hao Chen Abhinav Shrivastava 17 1 0 26 Oct 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs Mikhail Galkin E. Denis Jiapeng Wu William L. Hamilton OCL 28 86 0 23 Jun 2021
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution Boyan Xu Hujun Yin GNN 40 9 0 21 May 2021
Inductive Relation Prediction by BERT H. Zha Zhiyu Zoey Chen Xifeng Yan 29 54 0 12 Mar 2021
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs Jiajun Chen Huarui He Feng Wu Jie Wang 21 130 0 05 Mar 2021
OntoZSL: Ontology-enhanced Zero-shot Learning Yuxia Geng Jiaoyan Chen Zhuo Chen Jeff Z. Pan Zhiquan Ye Zonggang Yuan Yantao Jia Huajun Chen VLM 36 80 0 15 Feb 2021
Communicative Message Passing for Inductive Relation Reasoning Sijie Mai Shuangjia Zheng Yuedong Yang Haifeng Hu LRM 31 101 0 16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 117 0 16 Dec 2020
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation Eda Bayram Alberto García-Durán Robert West 34 13 0 10 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 58 1,177 0 04 Nov 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 21 11 0 25 Oct 2020
A Weighted Heterogeneous Graph Based Dialogue System Xinyan Zhao Liangwei Chen Huanhuan Chen 12 4 0 21 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 36 225 0 30 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 241 0 03 Sep 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction Jinheon Baek Dong Bok Lee Sung Ju Hwang 19 87 0 11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 18 13 0 11 Jun 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 24 3 0 28 Apr 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 29 14 0 27 Mar 2020
Probability Calibration for Knowledge Graph Embedding Models Pedro Tabacof Luca Costabello 8 45 0 20 Dec 2019
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning Ugur Kursuncu Manas Gaur A. Sheth NAI 20 57 0 01 Dec 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 29 388 0 16 Nov 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 47 262 0 06 Oct 2019
Lane Attention: Predicting Vehicles' Moving Trajectories by Learning Their Attention over Lanes Jiacheng Pan Hongyi Sun Kecheng Xu Yifei Jiang Xiangquan Xiao Jiangtao Hu Jinghao Miao 19 35 0 29 Sep 2019
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model Wei Li Jingjing Xu Yancheng He Shengli Yan Yunfang Wu Xu Sun 19 47 0 04 Jun 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 27 2 0 30 May 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 42 272 0 28 Feb 2019
Graph Neural Processes: Towards Bayesian Graph Neural Networks Andrew N. Carr David Wingate BDL 37 12 0 26 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 24 386 0 23 Feb 2019