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Modeling Relational Data with Graph Convolutional Networks

Modeling Relational Data with Graph Convolutional Networks

17 March 2017
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
    GNN
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Papers citing "Modeling Relational Data with Graph Convolutional Networks"

50 / 539 papers shown
Title
Heterogeneous Global Graph Neural Networks for Personalized
  Session-based Recommendation
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Yitong Pang
Lingfei Wu
Qi Shen
Yiming Zhang
Zhihua Wei
Fangli Xu
Ethan Chang
Bo Long
Jian Pei
30
111
0
08 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
52
94
0
01 Jul 2021
NodePiece: Compositional and Parameter-Efficient Representations of
  Large Knowledge Graphs
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
20
86
0
23 Jun 2021
A Neural Edge-Editing Approach for Document-Level Relation Graph
  Extraction
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction
Kohei Makino
Makoto Miwa
Yutaka Sasaki
KELM
24
7
0
18 Jun 2021
Scientific Language Models for Biomedical Knowledge Base Completion: An
  Empirical Study
Scientific Language Models for Biomedical Knowledge Base Completion: An Empirical Study
Rahul Nadkarni
David Wadden
Iz Beltagy
Noah A. Smith
Hannaneh Hajishirzi
Tom Hope
35
27
0
17 Jun 2021
Large-Scale Chemical Language Representations Capture Molecular
  Structure and Properties
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties
Jerret Ross
Brian M. Belgodere
Vijil Chenthamarakshan
Inkit Padhi
Youssef Mroueh
Payel Das
AI4CE
24
272
0
17 Jun 2021
Predicting cognitive scores with graph neural networks through sample
  selection learning
Predicting cognitive scores with graph neural networks through sample selection learning
M. Hanik
Mehmet Arif Demirtas
Mohammed Amine Gharsallaoui
I. Rekik
13
13
0
17 Jun 2021
Query Embedding on Hyper-relational Knowledge Graphs
Query Embedding on Hyper-relational Knowledge Graphs
Dimitrios Alivanistos
M. Berrendorf
Michael Cochez
Mikhail Galkin
21
22
0
15 Jun 2021
Pre-Trained Models: Past, Present and Future
Pre-Trained Models: Past, Present and Future
Xu Han
Zhengyan Zhang
Ning Ding
Yuxian Gu
Xiao Liu
...
Jie Tang
Ji-Rong Wen
Jinhui Yuan
Wayne Xin Zhao
Jun Zhu
AIFin
MQ
AI4MH
37
815
0
14 Jun 2021
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
11
847
0
13 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework
  for Link Prediction
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
27
300
0
13 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the
  Assortativity of Graphs with Local Mixing Patterns
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns
Susheel Suresh
Vinith Budde
Jennifer Neville
Pan Li
Jianzhu Ma
32
131
0
11 Jun 2021
DynaEval: Unifying Turn and Dialogue Level Evaluation
DynaEval: Unifying Turn and Dialogue Level Evaluation
Chen Zhang
Yiming Chen
L. F. D’Haro
Yan Zhang
Thomas Friedrichs
Grandee Lee
Haizhou Li
21
72
0
02 Jun 2021
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and
  Non-Local Relations
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
Ruisheng Cao
Lu Chen
Zhi Chen
Yanbin Zhao
Su Zhu
Kai Yu
17
159
0
02 Jun 2021
Search from History and Reason for Future: Two-stage Reasoning on
  Temporal Knowledge Graphs
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
Zixuan Li
Xiaolong Jin
Saiping Guan
Wei Li
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
28
103
0
01 Jun 2021
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced
  Collective Inference
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
T. Lai
Heng Ji
ChengXiang Zhai
Quan Hung Tran
29
65
0
27 May 2021
Directed Acyclic Graph Network for Conversational Emotion Recognition
Directed Acyclic Graph Network for Conversational Emotion Recognition
Weizhou Shen
Siyue Wu
Yunyi Yang
Xiaojun Quan
37
240
0
27 May 2021
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering
  Drug Targets
A Knowledge Graph-Enhanced Tensor Factorisation Model for Discovering Drug Targets
Cheng Ye
Rowan Swiers
Stephen Bonner
Ian P Barrett
27
12
0
20 May 2021
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Quan Wang
Haifeng Wang
Yajuan Lyu
Yong Zhu
24
44
0
18 May 2021
The Logic of Graph Neural Networks
The Logic of Graph Neural Networks
Martin Grohe
AI4CE
21
88
0
29 Apr 2021
Interaction-GCN: A Graph Convolutional Network based framework for
  social interaction recognition in egocentric videos
Interaction-GCN: A Graph Convolutional Network based framework for social interaction recognition in egocentric videos
Simone Felicioni
Mariella Dimiccoli
21
1
0
28 Apr 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for
  Few-Shot Knowledge Graph Completion
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu
Yang Li
Chengguang Tang
Ruiying Geng
Jian Dai
Qiao Liu
Hao Wang
Jian Sun
Fei Huang
Luo Si
18
88
0
27 Apr 2021
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Saiping Guan
Xiaolong Jin
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
31
26
0
21 Apr 2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation
  Learning
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li
Xiaolong Jin
Wei Li
Saiping Guan
Jiafeng Guo
Huawei Shen
Yuanzhuo Wang
Xueqi Cheng
26
255
0
21 Apr 2021
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural
  Machine Learning Models
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models
Benedek Rozemberczki
P. Scherer
Yixuan He
G. Panagopoulos
Alexander Riedel
...
Oliver Kiss
Ferenc Béres
Guzmán López
Nicolas Collignon
Rik Sarkar
AI4CE
29
199
0
15 Apr 2021
Hierarchical Adaptive Pooling by Capturing High-order Dependency for
  Graph Representation Learning
Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning
Ning Liu
Songlei Jian
Dongsheng Li
Yiming Zhang
Zhiquan Lai
Hongzuo Xu
26
30
0
13 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation
Contextual HyperNetworks for Novel Feature Adaptation
A. Lamb
Evgeny S. Saveliev
Yingzhen Li
Sebastian Tschiatschek
Camilla Longden
Simon Woodhead
José Miguel Hernández-Lobato
Richard E. Turner
Pashmina Cameron
Cheng Zhang
OOD
20
6
0
12 Apr 2021
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge
  Graph Representations
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations
Ying Lin
H. Wang
Jiangning Chen
Tong Wang
Yue Liu
Heng Ji
Yang Liu
Premkumar Natarajan
21
10
0
06 Apr 2021
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action
  Localization
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action Localization
Chen Ju
Peisen Zhao
Siheng Chen
Ya-Qin Zhang
Xiaoyun Zhang
Qi Tian
WSOL
31
19
0
06 Apr 2021
Do We Need Anisotropic Graph Neural Networks?
Do We Need Anisotropic Graph Neural Networks?
Shyam A. Tailor
Felix L. Opolka
Pietro Lio'
Nicholas D. Lane
40
34
0
03 Apr 2021
Structure-Aware Face Clustering on a Large-Scale Graph with
  $\bf{10^{7}}$ Nodes
Structure-Aware Face Clustering on a Large-Scale Graph with 107\bf{10^{7}}107 Nodes
Shuai Shen
Wanhua Li
Zheng Zhu
Guan Huang
Dalong Du
Jiwen Lu
Jie Zhou
CVBM
GNN
10
39
0
24 Mar 2021
Structural Adapters in Pretrained Language Models for AMR-to-text
  Generation
Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Leonardo F. R. Ribeiro
Yue Zhang
Iryna Gurevych
41
69
0
16 Mar 2021
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph
Xinliang Wu
Mengying Jiang
Guizhong Liu
GNN
22
7
0
14 Mar 2021
Inductive Relation Prediction by BERT
Inductive Relation Prediction by BERT
H. Zha
Zhiyu Zoey Chen
Xifeng Yan
21
54
0
12 Mar 2021
Network Representation Learning: From Traditional Feature Learning to
  Deep Learning
Network Representation Learning: From Traditional Feature Learning to Deep Learning
Ke Sun
Lei Wang
Bo Xu
Wenhong Zhao
S. Teng
Feng Xia
GNN
22
28
0
07 Mar 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and
  Classification
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification
Julian Busch
Anton Kocheturov
Volker Tresp
Thomas Seidl
17
49
0
05 Mar 2021
Topology-Aware Correlations Between Relations for Inductive Link
  Prediction in Knowledge Graphs
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
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
21
324
0
22 Feb 2021
Link Prediction with Persistent Homology: An Interactive View
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
10
46
0
20 Feb 2021
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge
  Graph Perspective
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
O. Engkvist
A. Bender
Charles Tapley Hoyt
William L. Hamilton
29
94
0
19 Feb 2021
REST: Relational Event-driven Stock Trend Forecasting
REST: Relational Event-driven Stock Trend Forecasting
W. Xu
Weiqing Liu
Chang Xu
Jiang Bian
Jian Yin
Tie-Yan Liu
28
55
0
15 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for
  Recommendation
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
Tinglin Huang
Dingxian Wang
Yancheng Yuan
Zhenguang Liu
Xiangnan He
Tat-Seng Chua
88
414
0
14 Feb 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation
GraphDF: A Discrete Flow Model for Molecular Graph Generation
Youzhi Luo
Keqiang Yan
Shuiwang Ji
DRL
185
187
0
01 Feb 2021
Neural representation and generation for RNA secondary structures
Neural representation and generation for RNA secondary structures
Zichao Yan
William L. Hamilton
Mathieu Blanchette
37
2
0
01 Feb 2021
Autonomous Navigation through intersections with Graph
  ConvolutionalNetworks and Conditional Imitation Learning for Self-driving
  Cars
Autonomous Navigation through intersections with Graph ConvolutionalNetworks and Conditional Imitation Learning for Self-driving Cars
Xiaodong Mei
Yuxiang Sun
Yuying Chen
Congcong Liu
Ming-Yu Liu
SSL
GNN
28
7
0
01 Feb 2021
Advances and Challenges in Conversational Recommender Systems: A Survey
Advances and Challenges in Conversational Recommender Systems: A Survey
Chongming Gao
Wenqiang Lei
Xiangnan He
Maarten de Rijke
Tat-Seng Chua
130
273
0
23 Jan 2021
Discrete Knowledge Graph Embedding based on Discrete Optimization
Discrete Knowledge Graph Embedding based on Discrete Optimization
Yunqi Li
Shuyuan Xu
Bo Liu
Zuohui Fu
Shuchang Liu
Xu Chen
Yongfeng Zhang
9
4
0
13 Jan 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender
  System
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
Kun Zhou
Xiaolei Wang
Yuanhang Zhou
Chenzhang Shang
Yuan-Chia Cheng
Wayne Xin Zhao
Yaliang Li
Ji-Rong Wen
27
63
0
04 Jan 2021
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural
  Networks
Quantifying Spatial Homogeneity of Urban Road Networks via Graph Neural Networks
Jiawei Xue
Nan Jiang
Senwei Liang
Qiyuan Pang
Takahiro Yabe
S. Ukkusuri
Jianzhu Ma
40
26
0
01 Jan 2021
Dialogue Graph Modeling for Conversational Machine Reading
Dialogue Graph Modeling for Conversational Machine Reading
Siru Ouyang
Zhuosheng Zhang
Hai Zhao
26
42
0
29 Dec 2020
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