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1810.05997
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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"
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Gaoli Ruan
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Jincheng Huang
Yujie Mo
Xiaoshuang Shi
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SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
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Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
Dimitrios Kelesis
Dimitris Fotakis
G. Paliouras
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31 Oct 2024
Towards Dynamic Message Passing on Graphs
Junshu Sun
Chenxue Yang
Xiangyang Ji
Qingming Huang
Shuhui Wang
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31 Oct 2024
Faster Local Solvers for Graph Diffusion Equations
Jiahe Bai
Baojian Zhou
Deqing Yang
Yanghua Xiao
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Can Large Language Models Act as Ensembler for Multi-GNNs?
Hanqi Duan
Yao Cheng
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Xiang Li
AI4CE
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Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
20
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21 Oct 2024
Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation
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Minseok Joo
Joo-Kyung Kim
H. Kim
RALM
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12 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training
Fangxin Wang
Kay Liu
Sourav Medya
Philip S. Yu
SSL
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12 Oct 2024
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
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0
11 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
Feng Zhou
Jingwen Xu
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Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNN
AI4CE
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InstructG2I: Synthesizing Images from Multimodal Attributed Graphs
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Ziqi Pang
Bingjun Guo
Yu-Xiong Wang
Jiaxuan You
Jiawei Han
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09 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning
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Junbin Gao
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Jennifer Neville
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Sm: enhanced localization in Multiple Instance Learning for medical imaging classification
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Pablo Morales-Álvarez
Yunan Wu
Rafael Molina
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GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning
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Yaqing Wang
Simeng Han
Jiaming Fan
Chen Si
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PROXI: Challenging the GNNs for Link Prediction
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Jack Myrick
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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
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When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
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D. Basu
Yulia R. Gel
Yuzhou Chen
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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
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
30
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0
17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
Qincheng Lu
Jiaqi Zhu
Sitao Luan
Xiao-Wen Chang
28
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Neural Message Passing Induced by Energy-Constrained Diffusion
Qitian Wu
David Wipf
Junchi Yan
DiffM
47
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Learning Personalized Scoping for Graph Neural Networks under Heterophily
Gangda Deng
Hongkuan Zhou
R. Kannan
Viktor Prasanna
31
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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
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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
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0
09 Sep 2024
Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
Mustafa Coşkun
A. Grama
Mehmet Koyutürk
30
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07 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks
C. Damke
Eyke Hüllermeier
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30
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06 Sep 2024
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
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27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
38
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27 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
S. Akansha
32
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25 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
30
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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
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
24
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24 Aug 2024
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
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Sreeja Gangasani
Venkataramana Runkana
25
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EMCNet : Graph-Nets for Electron Micrographs Classification
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
27
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21 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
21
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14 Aug 2024
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
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MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
Peng Yuan
Peng Tang
33
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TSC: A Simple Two-Sided Constraint against Over-Smoothing
Furong Peng
Kang Liu
Xuan Lu
Yuhua Qian
HongRen Yan
Chao Ma
43
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06 Aug 2024
Non-convolutional Graph Neural Networks
Yuanqing Wang
N. Scherer-Negenborn
GNN
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Boosting Graph Foundation Model from Structural Perspective
Yao Cheng
Yige Zhao
Jianxiang Yu
Xiang Li
16
4
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29 Jul 2024
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Dongzhuoran Zhou
Hui Yang
Bo Xiong
Yue Ma
Evgeny Kharlamov
36
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27 Jul 2024
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks
Jiaxing Miao
Liang Hu
Qi Zhang
LongBing Cao
CLL
44
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27 Jul 2024
Scalable Graph Compressed Convolutions
Junshu Sun
Chen Yang
Shuhui Wang
Qingming Huang
GNN
31
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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
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When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods
Junhong Lin
Xiaojie Guo
Shuaicheng Zhang
Dawei Zhou
Yada Zhu
Julian Shun
33
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Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Lukas Gosch
Mahalakshmi Sabanayagam
D. Ghoshdastidar
Stephan Günnemann
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GeoMix: Towards Geometry-Aware Data Augmentation
Wen-Long Zhao
Qitian Wu
Chenxiao Yang
Junchi Yan
27
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TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
Yezi Liu
Yanning Shen
DD
33
4
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10 Jul 2024
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