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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 / 4,697 papers shown
Title
LLM-Human Pipeline for Cultural Context Grounding of Conversations
LLM-Human Pipeline for Cultural Context Grounding of Conversations
Rajkumar Pujari
Dan Goldwasser
45
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
60
1
0
16 Oct 2024
Bridging Large Language Models and Graph Structure Learning Models for
  Robust Representation Learning
Bridging Large Language Models and Graph Structure Learning Models for Robust Representation Learning
Guangxin Su
Yifan Zhu
Wenjie Zhang
Hanchen Wang
Ying Zhang
51
1
0
15 Oct 2024
CrediRAG: Network-Augmented Credibility-Based Retrieval for
  Misinformation Detection in Reddit
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit
Ashwin Ram
Yigit E. Bayiz
Arash Amini
Mustafa Munir
R. Marculescu
41
0
0
15 Oct 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced
  Classification
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification
Bishal Thapaliya
Anh Nguyen
Yao Lu
Tian Xie
Igor Grudetskyi
Fudong Lin
Antonios Valkanas
Jingyu Liu
Deepayan Chakraborty
Bilel Fehri
44
2
0
15 Oct 2024
Network Representation Learning for Biophysical Neural Network Analysis
Network Representation Learning for Biophysical Neural Network Analysis
Youngmok Ha
Yongjoo Kim
Hyun Jae Jang
Seungyeon Lee
Eunji Pak
40
0
0
15 Oct 2024
Towards Fair Graph Representation Learning in Social Networks
Towards Fair Graph Representation Learning in Social Networks
Guixian Zhang
Guan Yuan
Debo Cheng
Lin Liu
Jiuyong Li
Shichao Zhang
57
0
0
15 Oct 2024
CoActionGraphRec: Sequential Multi-Interest Recommendations Using
  Co-Action Graphs
CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
Yi Sun
Yuri M. Brovman
34
0
0
15 Oct 2024
Enhance Graph Alignment for Large Language Models
Enhance Graph Alignment for Large Language Models
Haitong Luo
Xuying Meng
Suhang Wang
Tianxiang Zhao
Fali Wang
Hanyun Cao
Yujun Zhang
300
1
0
15 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification
Rethinking Graph Transformer Architecture Design for Node Classification
Jiajun Zhou
Xuanze Chen
Chenxuan Xie
Yu Shanqing
Qi Xuan
Xiaoniu Yang
46
0
0
15 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
24
0
0
14 Oct 2024
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without
  Positive Samples
SpeGCL: Self-supervised Graph Spectrum Contrastive Learning without Positive Samples
Yuntao Shou
Xiangyong Cao
Deyu Meng
54
9
0
14 Oct 2024
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning
  Perspective
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
Jintang Li
Ruofan Wu
Yuchang Zhu
Huizhe Zhang
Xinzhou Jin
Guibin Zhang
Zulun Zhu
Zibin Zheng
Liang Chen
SSL
51
0
0
14 Oct 2024
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Graph Masked Autoencoder for Spatio-Temporal Graph Learning
Qianru Zhang
Haixin Wang
Siu-Ming Yiu
Hongzhi Yin
AI4TS
39
1
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
Towards Bridging Generalization and Expressivity of Graph Neural
  Networks
Towards Bridging Generalization and Expressivity of Graph Neural Networks
Shouheng Li
Floris Geerts
Dongwoo Kim
Qing Wang
58
2
0
14 Oct 2024
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with Graphs
Haozhen Zhang
Tao Feng
Jiaxuan You
AI4TS
RALM
60
4
0
14 Oct 2024
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing
Pengrui Quan
Xiaomin Ouyang
J. Jeyakumar
Ziqi Wang
Yang Xing
Mani B. Srivastava
39
2
0
14 Oct 2024
Scalable Weibull Graph Attention Autoencoder for Modeling Document
  Networks
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks
Changbo Wang
Xinyang Liu
Dongsheng Wang
Hao Zhang
Bo Chen
Mingyuan Zhou
BDL
42
0
0
13 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
45
0
0
13 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive
  Survey
Text Classification using Graph Convolutional Networks: A Comprehensive Survey
Syed Mustafa Haider Rizvi
Ramsha Imran
Arif Mahmood
GNN
OOD
FaML
34
1
0
12 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training
BANGS: Game-Theoretic Node Selection for Graph Self-Training
Fangxin Wang
Kay Liu
Sourav Medya
Philip S. Yu
SSL
52
1
0
12 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
49
0
0
12 Oct 2024
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City
  Real Estate Appraisal
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal
Weijia Zhang
Jindong Han
Hao Liu
Wei Fan
Haoran Wang
Hui Xiong
25
1
0
11 Oct 2024
A Social Context-aware Graph-based Multimodal Attentive Learning
  Framework for Disaster Content Classification during Emergencies
A Social Context-aware Graph-based Multimodal Attentive Learning Framework for Disaster Content Classification during Emergencies
Shahid Shafi Dar
Mohammad Zia Ur Rehman
Karan Bais
Mohammed Abdul Haseeb
Nagendra Kumara
49
10
0
11 Oct 2024
Towards Cross-domain Few-shot Graph Anomaly Detection
Towards Cross-domain Few-shot Graph Anomaly Detection
Jiazhen Chen
Sichao Fu
Zhibin Zhang
Zheng Ma
M. Feng
T. Wirjanto
Qinmu Peng
64
2
0
11 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
63
0
0
11 Oct 2024
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on
  Graph Data
KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data
Andy Zhou
Xiaojun Xu
Ramesh Raghunathan
Alok Lal
Xinze Guan
Bin Yu
Bo Li
40
1
0
10 Oct 2024
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov
Yair Davidson
Nadav Dym
Tal Amir
46
3
0
10 Oct 2024
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
Moirangthem Tiken Singh
Rabinder Kumar Prasad
Gurumayum Robert Michael
N K Kaphungkui
N. Hemarjit Singh
36
1
0
10 Oct 2024
MKGL: Mastery of a Three-Word Language
MKGL: Mastery of a Three-Word Language
Lingbing Guo
Zhongpu Bo
Zhuo Chen
Yichi Zhang
Jiaoyan Chen
...
Yangyifei Luo
Qian Li
Qiang Zhang
Wen Zhang
Huajun Chen
48
2
0
10 Oct 2024
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
Bowen Jin
Ziqi Pang
Bingjun Guo
Yu-Xiong Wang
Jiaxuan You
Jiawei Han
DiffM
70
1
0
09 Oct 2024
Collusion Detection with Graph Neural Networks
Collusion Detection with Graph Neural Networks
Lucas Gomes
Jannis Kueck
Mara Mattes
Martin Spindler
Alexey Zaytsev
47
0
0
09 Oct 2024
Faithful Interpretation for Graph Neural Networks
Faithful Interpretation for Graph Neural Networks
Lijie Hu
Tianhao Huang
Lu Yu
Wanyu Lin
Tianhang Zheng
Di Wang
46
1
0
09 Oct 2024
Inference over Unseen Entities, Relations and Literals on Knowledge
  Graphs
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs
Caglar Demir
N'Dah Jean Kouagou
Arnab Sharma
Axel-Cyrille Ngonga Ngomo
33
0
0
09 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
76
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
67
5
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
Jiadong Wang
Han Liu
Kyumin Lee
Kaize Ding
GNN
333
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
2
0
09 Oct 2024
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty
  Design -- A Perspective
Molecular Dynamics and Machine Learning Unlock Possibilities in Beauty Design -- A Perspective
Yuzhi Xu
Haowei Ni
Qinhui Gao
Chia-Hua Chang
Yanran Huo
...
Yike Zhang
Radu Grovu
Min He
John Z. H. Zhang
Yuanqing Wang
AI4CE
46
0
0
08 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal
  Hyperparameter Tuning
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
Lequan Lin
Dai Shi
Andi Han
Zhiyong Wang
Junbin Gao
54
0
0
08 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
34
0
0
08 Oct 2024
Unitary convolutions for learning on graphs and groups
Unitary convolutions for learning on graphs and groups
B. Kiani
Lukas Fesser
Melanie Weber
GNN
47
2
0
07 Oct 2024
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
Rui Xue
Tong Zhao
Neil Shah
Xiaorui Liu
GNN
42
1
0
07 Oct 2024
Interactive Event Sifting using Bayesian Graph Neural Networks
Interactive Event Sifting using Bayesian Graph Neural Networks
José Nascimento
Nathan Jacobs
Anderson de Rezende Rocha
38
0
0
07 Oct 2024
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
BSG4Bot: Efficient Bot Detection based on Biased Heterogeneous Subgraphs
Hao Miao
Zida Liu
Jun Gao
39
0
0
07 Oct 2024
Defense-as-a-Service: Black-box Shielding against Backdoored Graph
  Models
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models
Xiao Yang
Kai Zhou
Y. Lai
Gaolei Li
AAML
38
0
0
07 Oct 2024
Modeling Social Media Recommendation Impacts Using Academic Networks: A
  Graph Neural Network Approach
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
Sabrina Guidotti
Gregor Donabauer
Simone Somazzi
Udo Kruschwitz
D. Taibi
D. Ognibene
35
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Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth
  Analysis and New Benchmarks
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks
Donald Loveland
Danai Koutra
75
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Enhancing Future Link Prediction in Quantum Computing Semantic Networks
  through LLM-Initiated Node Features
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features
Gilchan Park
Paul Baity
Byung-Jun Yoon
Adolfy Hoisie
66
0
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05 Oct 2024
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