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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 / 595 papers shown
Title
Text-driven Motion Generation: Overview, Challenges and Directions
Text-driven Motion Generation: Overview, Challenges and Directions
Ali Rida Sahili
Najett Neji
Hedi Tabia
VGen
38
0
0
14 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
Y. Wang
Xiaofeng Hu
Xiaojian Cui
Kai Wang
AI4TS
26
0
0
07 May 2025
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
Hong Jin
Kaicheng Zhou
Jie Yin
Lan You
Zhifeng Zhou
34
0
0
07 May 2025
Multi-modal cascade feature transfer for polymer property prediction
Multi-modal cascade feature transfer for polymer property prediction
Kiichi Obuchi
Yuta Yahagi
Kiyohiko Toyama
Shukichi Tanaka
Kota Matsui
47
0
0
06 May 2025
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement
Long Bai
Boyi Ma
Ruohan Wang
Guankun Wang
Beilei Cui
...
Mobarakol Islam
Zhe Min
Jiewen Lai
Nassir Navab
Hongliang Ren
53
0
0
03 May 2025
Learning Efficiency Meets Symmetry Breaking
Learning Efficiency Meets Symmetry Breaking
Yingbin Bai
Sylvie Thiébaux
Felipe Trevizan
32
0
0
28 Apr 2025
QuantBench: Benchmarking AI Methods for Quantitative Investment
QuantBench: Benchmarking AI Methods for Quantitative Investment
Saizhuo Wang
Hao Kong
Jiadong Guo
Fengrui Hua
Yiyan Qi
Wanyun Zhou
Jiahao Zheng
Xinyu Wang
Lionel M. Ni
Jian Guo
153
2
0
24 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion
Xiang Li
Haobing Liu
Jianpeng Qi
Yuan Cao
Guoqing Chao
Yanwei Yu
GNN
51
0
0
22 Apr 2025
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
Anirudhan Badrinath
Alex Yang
Kousik Rajesh
Prabhat Agarwal
Jaewon Yang
Haoyu Chen
Jiajing Xu
Charles R. Rosenberg
AI4TS
29
0
0
22 Apr 2025
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
Hamideh-Sadat Fazael-Ardakani
Hamid Soltanian-Zadeh
33
0
0
18 Apr 2025
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
Yibiao Wei
Jie Zou
Weikang Guo
Guoqing Wang
Xing Xu
Yang Yang
50
1
0
15 Apr 2025
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan
Sihang Zhou
Xiaoshu Chen
Dong Wang
K. Liang
Xinwang Liu
Jian Huang
32
0
0
08 Apr 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
Sidharth Agarwal
Tanishq Dubey
Shubham Gupta
Srikanta J. Bedathur
AI4TS
AI4CE
39
0
0
02 Mar 2025
Edge Prompt Tuning for Graph Neural Networks
Xingbo Fu
Yinhan He
Jundong Li
50
1
0
02 Mar 2025
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs
Predicting clinical outcomes from patient care pathways represented with temporal knowledge graphs
Jong Ho Jhee
Alberto Megina
Pacôme Constant Dit Beaufils
Matilde Karakachoff
Richard Redon
Alban Gaignard
Adrien Coulet
58
0
0
28 Feb 2025
HetFS: A Method for Fast Similarity Search with Ad-hoc Meta-paths on Heterogeneous Information Networks
Xuqi Mao
Z. Chen
Zhenying He
Yinan Jing
Kai Zhang
Xiaotao Wang
51
2
0
22 Feb 2025
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
Yang Gao
Hong Yang
Y. Chen
Junxian Wu
Peng Zhang
Haishuai Wang
48
0
0
12 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
Jasraj Singh
Keyue Jiang
Brooks Paige
Laura Toni
70
1
0
11 Feb 2025
Multi-Agent Behavior Retrieval: Retrieval-Augmented Policy Training for Cooperative Push Manipulation by Mobile Robots
Multi-Agent Behavior Retrieval: Retrieval-Augmented Policy Training for Cooperative Push Manipulation by Mobile Robots
So Kuroki
Mai Nishimura
Tadashi Kozuno
69
0
0
28 Jan 2025
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
DPCL-Diff: The Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning
Yukun Cao
Lisheng Wang
Luobing Huang
DiffM
47
0
0
20 Jan 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
67
20
0
17 Jan 2025
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
Multi-Aggregator Time-Warping Heterogeneous Graph Neural Network for Personalized Micro-Video Recommendation
Jinkun Han
Wei Li
Xhipeng Cai
Yongqian Li
34
4
0
05 Jan 2025
Large Language Model-Enhanced Symbolic Reasoning for Knowledge Base Completion
Qiyuan He
Jianfei Yu
Wenya Wang
LRM
31
0
0
03 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
60
4
0
31 Dec 2024
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
Just KIDDIN: Knowledge Infusion and Distillation for Detection of INdecent Memes
Rahul Garg
Trilok Padhi
Hemang Jain
Ugur Kursuncu
Ponnurangam Kumaraguru
77
3
0
19 Nov 2024
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning
Beyazit Yalcinkaya
Niklas Lauffer
Marcell Vazquez-Chanlatte
S. Seshia
AI4CE
55
5
0
31 Oct 2024
Heterogeneous Interaction Modeling With Reduced Accumulated Error for
  Multi-Agent Trajectory Prediction
Heterogeneous Interaction Modeling With Reduced Accumulated Error for Multi-Agent Trajectory Prediction
Siyuan Chen
Jiahai Wang
38
10
0
28 Oct 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
32
1
0
16 Oct 2024
GraphRouter: A Graph-based Router for LLM Selections
GraphRouter: A Graph-based Router for LLM Selections
Tao Feng
Yanzhen Shen
Jiaxuan You
85
10
0
04 Oct 2024
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
Amir Eskandari
Aman Anand
Drishti Sharma
F. Zulkernine
AI4TS
64
0
0
04 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the
  Computational Graph
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
35
3
0
17 Sep 2024
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling
Xinyue Fang
Zhen Huang
Zhiliang Tian
Minghui Fang
Ziyi Pan
Quntian Fang
Zhihua Wen
Hengyue Pan
Dongsheng Li
HILM
93
2
0
17 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional
  Networks
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
Mustafa Coşkun
A. Grama
Mehmet Koyutürk
40
0
0
07 Sep 2024
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
DiVA-DocRE: A Discriminative and Voice-Aware Paradigm for Document-Level Relation Extraction
Yiheng Wu
Roman Yangarber
Xian Mao
33
0
0
07 Sep 2024
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
Dan Kalifa
Uriel Singer
Kira Radinsky
49
1
0
31 Jul 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment
Graph Dimension Attention Networks for Enterprise Credit Assessment
Shaopeng Wei
Béni Egressy
Xingyan Chen
Yu Zhao
Fuzhen Zhuang
Roger Wattenhofer
Gang Kou
37
0
0
16 Jul 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Bo-wen Li
Ding Zhao
OffRL
CML
52
0
0
15 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
36
1
0
10 Jul 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
65
3
0
01 Jul 2024
Disentangling Knowledge-based and Visual Reasoning by Question
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Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA
Elham J. Barezi
Parisa Kordjamshidi
CoGe
37
0
0
27 Jun 2024
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph
  Completion
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Wen Zhang
Yajing Xu
Peng Ye
Zhiwei Huang
Zezhong Xu
Jiaoyan Chen
Jeff Z. Pan
Huajun Chen
29
1
0
26 Jun 2024
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event
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FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
Austin Coursey
Junyi Ji
Marcos Quiñones-Grueiro
William Barbour
Yuhang Zhang
Tyler Derr
Gautam Biswas
Daniel B. Work
16
7
0
21 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional
  Representation
Graph Edge Representation via Tensor Product Graph Convolutional Representation
Bo Jiang
Sheng Ge
Ziyan Zhang
Beibei Wang
Jin Tang
Bin Luo
GNN
43
0
0
21 Jun 2024
Compositional Generalization with Grounded Language Models
Compositional Generalization with Grounded Language Models
Sondre Wold
Étienne Simon
Lucas Georges Gabriel Charpentier
Egor V. Kostylev
Erik Velldal
Lilja Øvrelid
KELM
31
0
0
07 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Sunwoong Yang
Ricardo Vinuesa
Namwoo Kang
AI4CE
49
4
0
06 Jun 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation
  Decomposition via Large Language Models
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models
Hyunjin Seo
Taewon Kim
J. Yang
Eunho Yang
47
0
0
28 May 2024
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot
  Molecular Property Prediction
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
Zeyu Wang
Tianyi Jiang
Yao Lu
Xiaoze Bao
Shanqing Yu
Bin Wei
Qi Xuan
42
1
0
24 May 2024
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
Jinchuan Zhang
Bei Hui
Chong Mu
Ming Sun
Quanjiang Guo
Ling Tian
71
1
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17 May 2024
LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal
  Emotion Linking as Graph-Based Parsing
LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing
Ana Ezquerro
David Vilares
38
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PhilHumans: Benchmarking Machine Learning for Personal Health
PhilHumans: Benchmarking Machine Learning for Personal Health
Vadim Liventsev
Vivek Kumar
Allmin Pradhap Singh Susaiyah
Zixiu "Alex" Wu
Ivan Rodin
...
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Diego Reforgiato Recupero
Ehud Reiter
Daniele Riboni
Raymond Sterling
AI4MH
LM&MA
34
0
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