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1511.02136
Cited By
Diffusion-Convolutional Neural Networks
6 November 2015
James Atwood
Don Towsley
GNN
DiffM
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Papers citing
"Diffusion-Convolutional Neural Networks"
50 / 499 papers shown
Title
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection
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K. D. Duc
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Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
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Shikai Fang
Shibo Li
Shandian Zhe
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Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction
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Chunjiang Zhu
Detian Zhang
Qing Li
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42
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Supercharging Graph Transformers with Advective Diffusion
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Chenxiao Yang
Kaipeng Zeng
Fan Nie
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58
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10 Oct 2023
Asynchronous Graph Generator
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Felipe Tobar
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59
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Frugal Satellite Image Change Detection with Deep-Net Inversion
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Sebastien Deschamps
48
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26 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
Yiming Huang
Yujie Zeng
Qiang Wu
Linyuan Lu
27
18
0
22 Sep 2023
Uncertainty-aware Traffic Prediction under Missing Data
Hao Mei
Junxian Li
Zhiming Liang
Guanjie Zheng
Bin Shi
Hua Wei
EDL
32
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13 Sep 2023
Establishing a real-time traffic alarm in the city of Valencia with Deep Learning
Miguel G. Folgado
V. Sanz
J. Hirn
Edgar Lorenzo-Saez
Javier Urchueguia
HAI
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05 Sep 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation
Zehao Dong
Weidong Cao
Muhan Zhang
Dacheng Tao
Yixin Chen
Xuan Zhang
GNN
39
31
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31 Aug 2023
Modeling Edge Features with Deep Bayesian Graph Networks
Daniele Atzeni
Federico Errica
D. Bacciu
Alessio Micheli
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Weisfeiler and Lehman Go Paths: Learning Topological Features via Path Complexes
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Peter Chin
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PVG: Progressive Vision Graph for Vision Recognition
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Jian Li
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Boshen Zhang
M. Chi
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ViT
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Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions
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Yunlong Wang
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Zhenan Sun
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Node Injection Link Stealing Attack
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Javier Parra-Arnau
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Melek Önen
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Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles
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Ying Zhang
Shuai Ling
Zhaoru Ke
Haipeng Zhang
GNN
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MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation
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Dongsheng Luo
Huazhou Wei
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A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
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Huan Yee Koh
Qingsong Wen
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G. I. Webb
Irwin King
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AI4TS
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51
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A Survey on Graph Classification and Link Prediction based on GNN
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Juan Chen
Q. Wen
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31
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Torsion Graph Neural Networks
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Xiang Liu
Jiawei Luo
Kelin Xia
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Deep graph kernel point processes
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Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
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Fusing Structural and Functional Connectivities using Disentangled VAE for Detecting MCI
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Yanfei Zhu
Libin Lu
Zhi Yang
Yuhui Li
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37
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16 Jun 2023
Kriging Convolutional Networks
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Linfeng Liu
Liping Liu
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61
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CIN++: Enhancing Topological Message Passing
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Teodora Reu
Francesco Ceccarelli
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GNN
45
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Subgraph Networks Based Contrastive Learning
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Jiafei Shao
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Qi Xuan
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Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition
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L. Kara
Jonathan Cagan
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GAT-GAN : A Graph-Attention-based Time-Series Generative Adversarial Network
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Teck-Hou Teng
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26
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Is Rewiring Actually Helpful in Graph Neural Networks?
Domenico Tortorella
Alessio Micheli
AI4CE
49
2
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Graph Neural Network for spatiotemporal data: methods and applications
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Dazhou Yu
Zhenke Liu
Minxing Zhang
Xi Gong
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AI4TS
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Explainable Brain Age Prediction using coVariance Neural Networks
Saurabh Sihag
Gonzalo Mateos
Corey McMillan
Alejandro Ribeiro
31
14
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Confidence-Based Feature Imputation for Graphs with Partially Known Features
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Addressing Heterophily in Node Classification with Graph Echo State Networks
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Domenico Tortorella
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Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
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Wenjie Feng
Yanming Shen
Bryan Hooi
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Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features
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Fangchang Ma
Corey McMillan
Angela Dai
48
3
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02 May 2023
What Do GNNs Actually Learn? Towards Understanding their Representations
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Clustered-patch Element Connection for Few-shot Learning
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Siqian Yang
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Bin-Bin Gao
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Best Practices for 2-Body Pose Forecasting
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Urban Regional Function Guided Traffic Flow Prediction
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AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks
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Diffusing Graph Attention
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Graph-based Knowledge Distillation: A survey and experimental evaluation
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Visiting Distant Neighbors in Graph Convolutional Networks
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DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
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State of the Art and Potentialities of Graph-level Learning
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Ge Zhang
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Faithful and Consistent Graph Neural Network Explanations with Rationale Alignment
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Dongsheng Luo
Xiang Zhang
Suhang Wang
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Generative Graph Neural Networks for Link Prediction
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Tao Wu
Xiaoke Ma
Shaojie Qiao
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Chao Wang
Lin Yuan
Yuehua Wu
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Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
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Sebastien Deschamps
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Training Lightweight Graph Convolutional Networks with Phase-field Models
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