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Inductive Representation Learning on Large Graphs
v1v2v3v4 (latest)

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXiv (abs)PDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 5,534 papers shown
Title
End-to-End Graph Flattening Method for Large Language Models
End-to-End Graph Flattening Method for Large Language Models
Bin Hong
Jinze Wu
Jiayu Liu
L. Ding
Jing Sha
Kai Zhang
Shijin Wang
Zhenya Huang
89
1
0
23 Sep 2024
Federated Graph Learning with Adaptive Importance-based Sampling
Federated Graph Learning with Adaptive Importance-based Sampling
Anran Li
Yuanyuan Chen
Chao Ren
Wenhan Wang
Ming Hu
Tianlin Li
Han Yu
Qingyu Chen
FedML
63
0
0
23 Sep 2024
MotifDisco: Motif Causal Discovery For Time Series Motifs
MotifDisco: Motif Causal Discovery For Time Series Motifs
Josephine Lamp
M. Derdzinski
Christopher Hannemann
Sam Hatfield
Joost van der Linden
AI4TSCMLBDL
149
0
0
23 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
77
1
0
22 Sep 2024
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT
  Outperforms Large Scale Imitation Learning for MAPF
Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF
Rishi Veerapaneni
Arthur Jakobsson
Kevin Ren
Samuel Kim
Jiaoyang Li
Maxim Likhachev
76
1
0
22 Sep 2024
AggregHate: An Efficient Aggregative Approach for the Detection of
  Hatemongers on Social Platforms
AggregHate: An Efficient Aggregative Approach for the Detection of Hatemongers on Social Platforms
Tom Marzea
Abraham Israeli
Oren Tsur
105
0
0
22 Sep 2024
Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using
  Fused Brain Connection Graph
Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph
Lu Wei
Yi Huang
Guosheng Yin
Fode Zhang
Manxue Zhang
Bin Liu
23
0
0
22 Sep 2024
Boolean Product Graph Neural Networks
Boolean Product Graph Neural Networks
Ziyan Wang
Bin Liu
Ling Xiang
117
0
0
21 Sep 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat
D. Basu
Yulia R. Gel
Yuzhou Chen
AAML
462
1
0
21 Sep 2024
A generalizable framework for unlocking missing reactions in
  genome-scale metabolic networks using deep learning
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning
Xiaoyi Liu
Hongpeng Yang
Chengwei Ai
Ruihan Dong
Yijie Ding
Qianqian Yuan
Jijun Tang
Fei Guo
18
1
0
20 Sep 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
62
1
0
19 Sep 2024
Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
Multi-View Adaptive Contrastive Learning for Information Retrieval Based Fault Localization
Chunying Zhou
Xiaoyuan Xie
Gong Chen
Peng He
Bing Li
23
0
0
19 Sep 2024
Edge-Based Graph Component Pooling
Edge-Based Graph Component Pooling
T. Snelleman
B. M. Renting
H. H. Hoos
J. N. V. Rijn
GNN
64
2
0
18 Sep 2024
How to Build the Virtual Cell with Artificial Intelligence: Priorities
  and Opportunities
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
Charlotte Bunne
Yusuf Roohani
Yanay Rosen
Ankit Gupta
Xikun Zhang
...
Theofanis Karaletsos
Aviv Regev
Emma Lundberg
J. Leskovec
Stephen R. Quake
118
26
0
18 Sep 2024
Unlocking NACE Classification Embeddings with OpenAI for Enhanced
  Analysis and Processing
Unlocking NACE Classification Embeddings with OpenAI for Enhanced Analysis and Processing
Andrea Vidali
Nicola Jean
Giacomo Le Pera
36
1
0
17 Sep 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
83
4
0
17 Sep 2024
Uncertainty and Prediction Quality Estimation for Semantic Segmentation
  via Graph Neural Networks
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks
Edgar Heinert
Stephan Tilgner
Timo Palm
Matthias Rottmann
UQCV
107
0
0
17 Sep 2024
High-Order Evolving Graphs for Enhanced Representation of Traffic
  Dynamics
High-Order Evolving Graphs for Enhanced Representation of Traffic Dynamics
Aditya Humnabadkar
Arindam Sikdar
Benjamin Cave
Huaizhong Zhang
P. Bakaki
Ardhendu Behera
104
0
0
17 Sep 2024
Can Graph Reordering Speed Up Graph Neural Network Training? An
  Experimental Study
Can Graph Reordering Speed Up Graph Neural Network Training? An Experimental Study
Nikolai Merkel
Pierre Toussing
R. Mayer
Hans-Arno Jacobsen
GNN
122
3
0
17 Sep 2024
Contrasformer: A Brain Network Contrastive Transformer for
  Neurodegenerative Condition Identification
Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification
Jiaxing Xu
Kai He
Mengcheng Lan
Qingtian Bian
Wei Li
Tieying Li
Yiping Ke
Miao Qiao
MedIm
133
4
0
17 Sep 2024
PropEnc: A Property Encoder for Graph Neural Networks
PropEnc: A Property Encoder for Graph Neural Networks
Anwar Said
W. Abbas
X. Koutsoukos
103
0
0
17 Sep 2024
Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using
  GCN and Computational Modeling
Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling
Lucas Jividen
Tibo Duran
Xi-Zhi Niu
Jun Bai
21
0
0
16 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives
Deep Graph Anomaly Detection: A Survey and New Perspectives
Hezhe Qiao
Hanghang Tong
Bo An
Irwin King
Charu Aggarwal
Guansong Pang
87
8
0
16 Sep 2024
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph
  Neural Networks
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
Yuxin Dong
Jianhua Yao
Jiajing Wang
Yingbin Liang
Shuhan Liao
Minheng Xiao
GNN
55
21
0
15 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic
  Graph Learning
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiao-Wen Chang
85
3
0
15 Sep 2024
Leiden-Fusion Partitioning Method for Effective Distributed Training of
  Graph Embeddings
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings
Yuhe Bai
Camélia Constantin
Hubert Naacke
GNN
76
4
0
15 Sep 2024
Predicting building types and functions at transnational scale
Predicting building types and functions at transnational scale
Jonas Fill
Michael Eichelbeck
Michael Ebner
66
0
0
15 Sep 2024
Towards understanding evolution of science through language model series
Towards understanding evolution of science through language model series
Junjie Dong
Zhuoqi Lyu
Qing Ke
AI4TS
188
0
0
15 Sep 2024
Hyperedge Representations with Hypergraph Wavelets: Applications to
  Spatial Transcriptomics
Hyperedge Representations with Hypergraph Wavelets: Applications to Spatial Transcriptomics
Xingzhi Sun
C. Xu
Joao F. Rocha
Chen Liu
Benjamin Hollander-Bodie
Laney Goldman
Marcello DiStasio
Michael Perlmutter
Smita Krishnaswamy
MedIm
52
2
0
14 Sep 2024
Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for
  Recommender Tasks
Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks
Florian Grötschla
Luca Strassle
Luca A. Lanzendörfer
Roger Wattenhofer
79
0
0
13 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption
Redesigning graph filter-based GNNs to relax the homophily assumption
Samuel Rey
Madeline Navarro
Victor M. Tenorio
Santiago Segarra
Antonio G. Marques
82
4
0
13 Sep 2024
Promoting Fairness in Link Prediction with Graph Enhancement
Promoting Fairness in Link Prediction with Graph Enhancement
Yezi Liu
Hanning Chen
Mohsen Imani
78
3
0
13 Sep 2024
Molecular Graph Representation Learning via Structural Similarity
  Information
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao
Hong Huang
Hang Gao
Fengge Wu
Haiming Chen
Junsuo Zhao
76
0
0
13 Sep 2024
ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and
  Low-Rank Adaptation via Instruction-Tuned Large Language Model
ATFLRec: A Multimodal Recommender System with Audio-Text Fusion and Low-Rank Adaptation via Instruction-Tuned Large Language Model
Zezheng Qin
53
0
0
13 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite
  Communications
An Efficient Privacy-aware Split Learning Framework for Satellite Communications
Jianfei Sun
Cong Wu
Shahid Mumtaz
Junyi Tao
Mingsheng Cao
Mei Wang
Valerio Frascolla
88
5
0
13 Sep 2024
Sub-graph Based Diffusion Model for Link Prediction
Sub-graph Based Diffusion Model for Link Prediction
Hang Li
Wei Jin
Geri Skenderi
Harry Shomer
Wenzhuo Tang
Wenqi Fan
Jiliang Tang
DiffM
65
0
0
13 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Transformers from Diffusion: A Unified Framework for Neural Message Passing
Qitian Wu
David Wipf
Junchi Yan
DiffM
152
1
0
13 Sep 2024
Tweezers: A Framework for Security Event Detection via Event
  Attribution-centric Tweet Embedding
Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding
Jian Cui
Hanna Kim
Eugene Jang
Dayeon Yim
Kicheol Kim
Yongjae Lee
Jin-Woo Chung
Seungwon Shin
Xiaojing Liao
94
0
0
12 Sep 2024
Towards a graph-based foundation model for network traffic analysis
Towards a graph-based foundation model for network traffic analysis
Louis Van Langendonck
Ismael Castell-Uroz
Pere Barlet-Ros
74
1
0
12 Sep 2024
Network Anomaly Traffic Detection via Multi-view Feature Fusion
Network Anomaly Traffic Detection via Multi-view Feature Fusion
Song Hao
Wentao Fu
Xuanze Chen
Chengxiang Jin
Jiajun Zhou
Shanqing Yu
Qi Xuan
70
2
0
12 Sep 2024
Graph Neural Networks for Parkinsons Disease Detection
Graph Neural Networks for Parkinsons Disease Detection
S. A. Sheikh
Yacouba Kaloga
Md. Sahidullah
Ina Kodrasi
87
1
0
12 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks
Rustam Guliyev
Aparajita Haldar
Hakan Ferhatosmanoglu
GNN
84
1
0
10 Sep 2024
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
Faezeh Faez
Raika Karimi
Yingxue Zhang
Xing Li
Lei Chen
Mingxuan Yuan
Mahdi Biparva
64
2
0
09 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph
  Structure Self-Contrasting
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting
Lirong Wu
Haitao Lin
Guojiang Zhao
Cheng Tan
Stan Z. Li
110
0
0
09 Sep 2024
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node
  Classifications
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications
Ziming Zhao
Tiehua Zhang
Zijian Yi
Zhishu Shen
84
0
0
09 Sep 2024
Graffin: Stand for Tails in Imbalanced Node Classification
Graffin: Stand for Tails in Imbalanced Node Classification
Xiaorui Qi
Yanlong Wen
Xiaojie Yuan
45
0
0
09 Sep 2024
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning
Yifan Jia
Yanbin Wang
Jianguo Sun
Yiwei Liu
Zhang Sheng
Ye Tian
210
5
0
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Sequential Classification of Misinformation
Sequential Classification of Misinformation
Daniel Toma
Wasim Huleihel
67
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Learning to Solve Combinatorial Optimization under Positive Linear
  Constraints via Non-Autoregressive Neural Networks
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
104
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0
06 Sep 2024
An Efficient Recommendation Model Based on Knowledge Graph
  Attention-Assisted Network (KGATAX)
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)
Zhizhong Wu
45
6
0
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