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Composition-based Multi-Relational Graph Convolutional Networks

Composition-based Multi-Relational Graph Convolutional Networks

8 November 2019
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
    GNN
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Papers citing "Composition-based Multi-Relational Graph Convolutional Networks"

35 / 85 papers shown
Title
Relphormer: Relational Graph Transformer for Knowledge Graph
  Representations
Relphormer: Relational Graph Transformer for Knowledge Graph Representations
Zhen Bi
Shuyang Cheng
Jing Chen
Xiaozhuan Liang
Feiyu Xiong
Ningyu Zhang
29
37
0
22 May 2022
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the
  Federated Setting
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
18
26
0
10 May 2022
Diversifying Content Generation for Commonsense Reasoning with Mixture
  of Knowledge Graph Experts
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
W. Yu
Chenguang Zhu
Lianhui Qin
Zhihan Zhang
Tong Zhao
Meng-Long Jiang
LRM
20
30
0
14 Mar 2022
R-GCN: The R Could Stand for Random
R-GCN: The R Could Stand for Random
Vic Degraeve
Gilles Vandewiele
F. Ongenae
Sofie Van Hoecke
GNN
21
13
0
04 Mar 2022
An Open Challenge for Inductive Link Prediction on Knowledge Graphs
An Open Challenge for Inductive Link Prediction on Knowledge Graphs
Mikhail Galkin
M. Berrendorf
Charles Tapley Hoyt
AI4CE
25
22
0
03 Mar 2022
Description Logic EL++ Embeddings with Intersectional Closure
Description Logic EL++ Embeddings with Intersectional Closure
X. Peng
Zhenwei Tang
Maxat Kulmanov
Kexin Niu
R. Hoehndorf
11
18
0
28 Feb 2022
NeuralKG: An Open Source Library for Diverse Representation Learning of
  Knowledge Graphs
NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs
Wen Zhang
Xian-gan Chen
Zhen Yao
Mingyang Chen
Yushan Zhu
...
Yajing Xu
Ningyu Zhang
Zonggang Yuan
Feiyu Xiong
Huajun Chen
24
12
0
25 Feb 2022
A Survey on Visual Transfer Learning using Knowledge Graphs
A Survey on Visual Transfer Learning using Knowledge Graphs
Sebastian Monka
Lavdim Halilaj
Achim Rettinger
19
23
0
27 Jan 2022
Multi-task Pre-training Language Model for Semantic Network Completion
Multi-task Pre-training Language Model for Semantic Network Completion
Da Li
Sen Yang
Kele Xu
Ming Yi
Yukai He
Huaimin Wang
21
29
0
13 Jan 2022
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual
  Hierarchical Attention Networks
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks
Yu Zhao
Shaopeng Wei
Huaming Du
Xingyan Chen
Qing Li
Fuzhen Zhuang
J. Liu
Gang Kou
28
10
0
24 Dec 2021
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for
  Link Prediction
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
Peyman Baghershahi
Reshad Hosseini
H. Moradi
26
52
0
20 Dec 2021
Joint Demand Prediction for Multimodal Systems: A Multi-task
  Multi-relational Spatiotemporal Graph Neural Network Approach
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach
Yuebing Liang
Guan Huang
Zhan Zhao
AI4TS
21
48
0
15 Dec 2021
TLogic: Temporal Logical Rules for Explainable Link Forecasting on
  Temporal Knowledge Graphs
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Yushan Liu
Yunpu Ma
Marcel Hildebrandt
Mitchell Joblin
Volker Tresp
24
130
0
15 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link
  Information
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhiling Wang
Shimin Di
Lei Chen
GNN
AI4CE
10
39
0
02 Dec 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination
  Therapy
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy
Benedek Rozemberczki
A. Gogleva
S. Nilsson
G. Edwards
A. Nikolov
Eliseo Papa
GNN
18
19
0
28 Oct 2021
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
A. Nobari
Faez Ahmed
3DV
AI4CE
24
175
0
21 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
19
19
0
06 Oct 2021
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern
  for Knowledge Graph Embedding
Is There More Pattern in Knowledge Graph? Exploring Proximity Pattern for Knowledge Graph Embedding
Ren Li
Yanan Cao
Qiannan Zhu
Xiaoxue Li
Fang Fang
GNN
30
2
0
02 Oct 2021
Edge-similarity-aware Graph Neural Networks
Edge-similarity-aware Graph Neural Networks
Vincent Mallet
Carlos G. Oliver
William L. Hamilton
20
0
0
20 Sep 2021
Context-aware Entity Typing in Knowledge Graphs
Context-aware Entity Typing in Knowledge Graphs
Wei-Fan Pan
Wei Wei
Xian-Ling Mao
27
22
0
16 Sep 2021
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
Meiqi Chen
Yuan Zhang
Xiaoyu Kou
Yuntao Li
Yan Zhang
GNN
11
16
0
13 Sep 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning
  and Neuroscience (VesselGraph)
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph)
Johannes C. Paetzold
J. McGinnis
Suprosanna Shit
Ivan Ezhov
Paul Büschl
...
Anjany Sekuboyina
Georgios Kaissis
Ali Ertürk
Stephan Günnemann
Bjoern H. Menze
17
9
0
30 Aug 2021
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
Topic-to-Essay Generation with Comprehensive Knowledge Enhancement
Zhiyue Liu
Jiahai Wang
Zhenghong Li
20
6
0
29 Jun 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
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
19
296
0
13 Jun 2021
Robust Knowledge Graph Completion with Stacked Convolutions and a
  Student Re-Ranking Network
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Justin Lovelace
Denis R. Newman-Griffis
Shikhar Vashishth
J. Lehman
Carolyn Rose
OffRL
13
31
0
11 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
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
17
254
0
21 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
18
30
0
13 Apr 2021
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised
  Classification
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification
Rui Yang
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
20
20
0
07 Dec 2020
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
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
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
21
3
0
12 Oct 2020
Message Passing for Hyper-Relational Knowledge Graphs
Message Passing for Hyper-Relational Knowledge Graphs
Mikhail Galkin
Priyansh Trivedi
Gaurav Maheshwari
Ricardo Usbeck
Jens Lehmann
27
113
0
22 Sep 2020
Convolutional Complex Knowledge Graph Embeddings
Convolutional Complex Knowledge Graph Embeddings
Caglar Demir
A. N. Ngomo
11
44
0
07 Aug 2020
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