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Inductive Representation Learning on Large Graphs

Inductive Representation Learning on Large Graphs

7 June 2017
William L. Hamilton
Z. Ying
J. Leskovec
ArXivPDFHTML

Papers citing "Inductive Representation Learning on Large Graphs"

50 / 2,315 papers shown
Title
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
Song Wang
Xiaodong Yang
Rashidul Islam
Huiyuan Chen
Minghua Xu
Jundong Li
Yiwei Cai
OODD
75
2
0
07 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
36
4
0
05 Jan 2025
Transforming CCTV cameras into NO2_22​ sensors at city scale for adaptive policymaking
Mohamed Ramzy Ibrahim
Terry Lyons
60
0
0
03 Jan 2025
Efficient support ticket resolution using Knowledge Graphs
Sherwin Varghese
James Tian
39
0
0
03 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning
MADE: Graph Backdoor Defense with Masked Unlearning
Xiao Lin amd Mingjie Li
Mingjie Li
Yisen Wang
AAML
97
2
0
03 Jan 2025
Graph Triple Attention Network: A Decoupled Perspective
Graph Triple Attention Network: A Decoupled Perspective
Xiaotang Wang
Yun Zhu
Haizhou Shi
Yongchao Liu
Chuntao Hong
77
2
0
03 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements
Haoyang Li
Yongjun Xu
C. Zhang
Alexander Zhou
Lei Chen
Qing Li
AI4CE
195
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
65
4
0
31 Dec 2024
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach
Ruichu Cai
Yuxuan Zhu
Xuexin Chen
Yuan Fang
Min-man Wu
Jie Qiao
Zhifeng Hao
59
7
0
31 Dec 2024
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Towards Ideal Temporal Graph Neural Networks: Evaluations and Conclusions after 10,000 GPU Hours
Yuxin Yang
Hongkuan Zhou
Rajgopal Kannan
Viktor Prasanna
48
0
0
31 Dec 2024
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Causal-aware Graph Neural Architecture Search under Distribution Shifts
Peiwen Li
Xin Wang
Zeyang Zhang
Yi Qin
Ziwei Zhang
Jialong Wang
Yang Li
Wenwu Zhu
CML
OOD
74
4
0
31 Dec 2024
Discrete Curvature Graph Information Bottleneck
Discrete Curvature Graph Information Bottleneck
Xingcheng Fu
Jian Wang
Yisen Gao
Qingyun Sun
Haonan Yuan
Jianxin Li
Xianxian Li
49
0
0
31 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network
THeGCN: Temporal Heterophilic Graph Convolutional Network
Yuchen Yan
Yuzhong Chen
Huiyuan Chen
Xiaoting Li
Zhe Xu
Zhichen Zeng
Lihui Liu
Zhining Liu
Yangqiu Song
99
1
0
21 Dec 2024
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
Shuyuan Zhao
Wei Chen
Boyan Shi
Liyong Zhou
Shuohao Lin
Huaiyu Wan
99
0
0
21 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning
Jianqing Liang
Xinkai Wei
Min Chen
Zhiqiang Wang
Jiye Liang
88
0
0
18 Dec 2024
Training MLPs on Graphs without Supervision
Training MLPs on Graphs without Supervision
Zehong Wang
Zheyuan Zhang
Chuxu Zhang
Yanfang Ye
86
5
0
05 Dec 2024
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
Toyotaro Suzumura
H. Kanezashi
Shotaro Akahori
AI4MH
89
0
0
25 Nov 2024
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Zhihao Li
Haoze Song
Di Xiao
Zhilu Lai
Wei Wang
AI4CE
96
3
0
18 Nov 2024
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
Enhancing Link Prediction with Fuzzy Graph Attention Networks and Dynamic Negative Sampling
Jinming Xing
Ruilin Xing
Chang Xue
Dongwen Luo
36
2
0
12 Nov 2024
General Geospatial Inference with a Population Dynamics Foundation Model
General Geospatial Inference with a Population Dynamics Foundation Model
Mohit Agarwal
Mimi Sun
C. Kamath
Arbaaz Muslim
Prithul Sarker
...
Niv Efron
Yossi Matias
Greg C. Corrado
Krish Eswaran
Shruthi Prabhakara
AI4CE
54
2
0
11 Nov 2024
Efficient Message Passing Architecture for GCN Training on HBM-based
  FPGAs with Orthogonal Topology On-Chip Networks
Efficient Message Passing Architecture for GCN Training on HBM-based FPGAs with Orthogonal Topology On-Chip Networks
Qizhe Wu
Letian Zhao
Yuchen Gui
Huawen Liang Xiaotian Wang
GNN
36
1
0
06 Nov 2024
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
Laura Cabello
Carmen Martin-Turrero
Uchenna Akujuobi
Anders Søgaard
Carlos Bobed
AI4MH
184
1
0
06 Nov 2024
Reconsidering the Performance of GAE in Link Prediction
Reconsidering the Performance of GAE in Link Prediction
Weishuo Ma
Yanbo Wang
Xuben Wang
Muhan Zhang
36
1
0
06 Nov 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
57
0
0
03 Nov 2024
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
Chenyu Li
Minghui Zhang
Chuyan Zhang
Yun Gu
33
0
0
31 Oct 2024
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning
HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoning
Xudong Wang
Yuan Li
Huiyu Zhou
Jiaran Zhou
Junyu Dong
49
1
0
29 Oct 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
47
2
0
28 Oct 2024
Detecting Malicious Accounts in Web3 through Transaction Graph
Detecting Malicious Accounts in Web3 through Transaction Graph
Wenkai Li
Zhijie Liu
Xiaoqi Li
Sen Nie
GNN
41
17
0
28 Oct 2024
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Mufei Li
Siqi Miao
Pan Li
RALM
43
9
0
28 Oct 2024
Understanding the Effect of GCN Convolutions in Regression Tasks
Understanding the Effect of GCN Convolutions in Regression Tasks
Juntong Chen
Johannes Schmidt-Hieber
Claire Donnat
Olga Klopp
GNN
36
0
0
26 Oct 2024
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Christos Xypolopoulos
Guokan Shang
Xiao Fei
Giannis Nikolentzos
Hadi Abdine
Iakovos Evdaimon
Michail Chatzianastasis
Giorgos Stamou
Michalis Vazirgiannis
26
1
0
25 Oct 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation
Kexin Zhang
Shuhan Liu
Song Wang
Weili Shi
Chen Chen
Pan Li
Sheng Li
Jundong Li
Kaize Ding
OOD
55
2
0
25 Oct 2024
Sparse Decomposition of Graph Neural Networks
Sparse Decomposition of Graph Neural Networks
Yaochen Hu
Mai Zeng
Ge Zhang
Pavel Rumiantsev
Liheng Ma
Yingxue Zhang
Mark Coates
37
0
0
25 Oct 2024
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning
Wei Qiao
Yebo Feng
Teng Li
Zijian Zhang
Zhengzi Xu
Zhuo Ma
Yulong Shen
57
0
0
23 Oct 2024
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
47
2
0
22 Oct 2024
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs
Graph Sampling for Scalable and Expressive Graph Neural Networks on Homophilic Graphs
Haolin Li
Luana Ruiz
Luana Ruiz
47
0
0
22 Oct 2024
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural
  Networks
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Hao Sui
Bing Chen
J. Zhang
Chengcheng Zhu
Di Wu
Qinghua Lu
Guodong Long
AAML
52
1
0
18 Oct 2024
Conformal Prediction for Federated Graph Neural Networks with Missing
  Neighbor Information
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information
Ömer Faruk Akgül
Rajgopal Kannan
Viktor Prasanna
FedML
34
0
0
17 Oct 2024
LLM-Human Pipeline for Cultural Context Grounding of Conversations
LLM-Human Pipeline for Cultural Context Grounding of Conversations
Rajkumar Pujari
Dan Goldwasser
43
1
0
17 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
39
0
0
16 Oct 2024
Use Random Selection for Now: Investigation of Few-Shot Selection
  Strategies in LLM-based Text Augmentation for Classification
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification
Ján Cegin
Branislav Pecher
Jakub Simko
Ivan Srba
Maria Bielikova
Peter Brusilovsky
19
0
0
14 Oct 2024
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs
Shengwei Ji
Yujie Tian
Fei Liu
Xinlu Li
Le Wu
GNN
42
0
0
14 Oct 2024
Gaussian Splatting Visual MPC for Granular Media Manipulation
Gaussian Splatting Visual MPC for Granular Media Manipulation
Wei-Cheng Tseng
Ellina Zhang
Krishna Murthy Jatavallabhula
Florian Shkurti
3DGS
33
0
0
13 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
44
0
0
12 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
59
0
0
11 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware
  Designs
A Benchmark on Directed Graph Representation Learning in Hardware Designs
Haoyu Wang
Yinan Huang
Nan Wu
Pan Li
OOD
57
1
0
09 Oct 2024
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
Jinghan Li
Yuan Gao
Jinda Lu
Sihang Li
Congcong Wen
Hui Lin
Xiang Wang
58
1
0
09 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Zhengyu Hu
Yichuan Li
Zhengyu Chen
Rongxiang Weng
Han Liu
Kyumin Lee
Kaize Ding
GNN
283
1
0
09 Oct 2024
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
Mathilde Papillon
Guillermo Bernardez
Claudio Battiloro
Nina Miolane
BDL
59
2
0
09 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
30
0
0
08 Oct 2024
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