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Predict then Propagate: Graph Neural Networks meet Personalized PageRank

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018
Johannes Klicpera
Aleksandar Bojchevski
Stephan Günnemann
    GNN
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Papers citing "Predict then Propagate: Graph Neural Networks meet Personalized PageRank"

50 / 870 papers shown
Title
GaGSL: Global-augmented Graph Structure Learning via Graph Information
  Bottleneck
GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck
Shuangjie Li
Jiangqing Song
Baoming Zhang
Gaoli Ruan
Junyuan Xie
Chongjun Wang
23
0
0
07 Nov 2024
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network
Jincheng Huang
Yujie Mo
Xiaoshuang Shi
Lei Feng
Xiaofeng Zhu
29
0
0
04 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
39
0
0
03 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph
  Neural Networks
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
Dimitrios Kelesis
Dimitris Fotakis
G. Paliouras
23
0
0
31 Oct 2024
Towards Dynamic Message Passing on Graphs
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
30
0
0
31 Oct 2024
Faster Local Solvers for Graph Diffusion Equations
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai
Baojian Zhou
Deqing Yang
Yanghua Xiao
DiffM
28
1
0
29 Oct 2024
Can Large Language Models Act as Ensembler for Multi-GNNs?
Can Large Language Models Act as Ensembler for Multi-GNNs?
Hanqi Duan
Yao Cheng
Jianxiang Yu
Xiang Li
AI4CE
35
0
0
22 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
20
0
0
21 Oct 2024
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog
  Generation
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation
Jinyoung Park
Minseok Joo
Joo-Kyung Kim
H. Kim
RALM
23
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
11
1
0
12 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
Hao Yan
C. Li
Zhigang Yu
Jun Yin
Ruochen Liu
Peiyan Zhang
Weihao Han
Mingzheng Li
Zhengxin Zeng
22
0
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
43
0
0
11 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
30
1
0
09 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
18
0
0
08 Oct 2024
Improving Node Representation by Boosting Target-Aware Contrastive Loss
Improving Node Representation by Boosting Target-Aware Contrastive Loss
Ying-Chun Lin
Jennifer Neville
SSL
15
0
0
04 Oct 2024
Sm: enhanced localization in Multiple Instance Learning for medical
  imaging classification
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
Francisco M. Castro-Macías
Pablo Morales-Álvarez
Yunan Wu
Rafael Molina
Aggelos K. Katsaggelos
28
1
0
04 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
Jiale Fu
Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
23
1
0
03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction
PROXI: Challenging the GNNs for Link Prediction
Astrit Tola
Jack Myrick
Baris Coskunuzer
29
0
0
02 Oct 2024
Towards Dynamic Graph Neural Networks with Provably High-Order
  Expressive Power
Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
Zhe Wang
Tianjian Zhao
Zhen Zhang
Jiawei Chen
Sheng Zhou
Yan Feng
Chun Chen
Can Wang
15
1
0
02 Oct 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
62
0
0
21 Sep 2024
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material
  Science: Early Explorations into the Next Frontier of Generative AI-Assisted
  Electron Micrograph Analysis
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
30
0
0
17 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
28
2
0
15 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion
Neural Message Passing Induced by Energy-Constrained Diffusion
Qitian Wu
David Wipf
Junchi Yan
DiffM
47
1
0
13 Sep 2024
Learning Personalized Scoping for Graph Neural Networks under
  Heterophily
Learning Personalized Scoping for Graph Neural Networks under Heterophily
Gangda Deng
Hongkuan Zhou
R. Kannan
Viktor Prasanna
31
0
0
11 Sep 2024
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective?
  Evaluation Pitfalls and New Benchmarks
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks
Sitao Luan
Qincheng Lu
Chenqing Hua
X. Wang
Jiaqi Zhu
Xiao-Wen Chang
Guy Wolf
Jian Tang
57
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
16
0
0
09 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
30
0
0
07 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using
  Posterior Networks
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks
C. Damke
Eyke Hüllermeier
BDL
30
0
0
06 Sep 2024
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language
  Instruction Tuning for Semiconductor Electron Micrograph Analysis
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
30
0
0
27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant
  for Semiconductor Electron Micrograph Analysis
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
38
1
0
27 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in
  Node-Classification
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
S. Akansha
32
0
0
25 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph
  Representation Learning with Foundational Large Language Models
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
30
0
0
24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic
  Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision
  Transformers with Large Language and Multimodal Models
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
24
0
0
24 Aug 2024
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning
  Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
25
0
0
23 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Sreeja Gangasani
Venkataramana Runkana
25
2
0
21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification
EMCNet : Graph-Nets for Electron Micrographs Classification
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
27
0
0
21 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs)
  Life Estimation
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
21
0
0
14 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and
  Over-smoothing in Signed Graph Neural Networks
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
41
0
0
09 Aug 2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with
  Incomplete Features and Structure
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
Peng Yuan
Peng Tang
33
1
0
09 Aug 2024
TSC: A Simple Two-Sided Constraint against Over-Smoothing
TSC: A Simple Two-Sided Constraint against Over-Smoothing
Furong Peng
Kang Liu
Xuan Lu
Yuhua Qian
HongRen Yan
Chao Ma
43
0
0
06 Aug 2024
Non-convolutional Graph Neural Networks
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
16
3
0
31 Jul 2024
Boosting Graph Foundation Model from Structural Perspective
Boosting Graph Foundation Model from Structural Perspective
Yao Cheng
Yige Zhao
Jianxiang Yu
Xiang Li
16
4
0
29 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Dongzhuoran Zhou
Hui Yang
Bo Xiong
Yue Ma
Evgeny Kharlamov
36
0
0
27 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of
  Brain Networks
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Qi Zhang
LongBing Cao
CLL
44
0
0
27 Jul 2024
Scalable Graph Compressed Convolutions
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
31
0
0
26 Jul 2024
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and
  Self-Training
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu
Mengyu Li
Ximing Li
Lan Huang
Fausto Giunchiglia
Yanchun Liang
Xiaoyue Feng
Renchu Guan
SSL
22
4
0
20 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective
  Methods
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
33
1
0
15 Jul 2024
Provable Robustness of (Graph) Neural Networks Against Data Poisoning
  and Backdoor Attacks
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch
Mahalakshmi Sabanayagam
D. Ghoshdastidar
Stephan Günnemann
AAML
33
3
0
15 Jul 2024
GeoMix: Towards Geometry-Aware Data Augmentation
GeoMix: Towards Geometry-Aware Data Augmentation
Wen-Long Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
27
2
0
15 Jul 2024
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Yezi Liu
Yanning Shen
DD
33
4
0
10 Jul 2024
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