Diffusion-Convolutional Neural Networks

6 November 2015

Papers citing "Diffusion-Convolutional Neural Networks"

50 / 499 papers shown

Title
Leave Graphs Alone: Addressing Over-Squashing without Rewiring Adam Santoro Ashish Vaswani 24 12 0 13 Dec 2022
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification Lu Bai Lixin Cui Edwin R. Hancock 45 0 0 10 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 18 0 0 09 Dec 2022
Non-equispaced Fourier Neural Solvers for PDEs Haitao Lin Lirong Wu Yongjie Xu Yufei Huang Siyuan Li Guojiang Zhao Z. Stan 24 7 0 09 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 40 6 0 27 Nov 2022
Evaluating Distribution System Reliability with Hyperstructures Graph Convolutional Nets Yuzhou Chen Tian Jiang M. Heleno Alexandre Moreira Yulia R. Gel GNN AI4CE 31 3 0 14 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 33 1 0 12 Nov 2022
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification Lu Bai Lixin Cui Yue Wang Ming Li Edwin R. Hancock 21 43 0 05 Nov 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 53 28 0 27 Oct 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Z Li Yuang Jiang Rex Ying 37 18 0 21 Oct 2022
On Classification Thresholds for Graph Attention with Edge Features K. Fountoulakis Dake He Silvio Lattanzi Bryan Perozzi Anton Tsitsulin Shenghao Yang GNN 35 6 0 18 Oct 2022
DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models Zeyang Sha Zheng Li Ning Yu Yang Zhang DiffM 28 118 0 13 Oct 2022
Modular Flows: Differential Molecular Generation Yogesh Verma Samuel Kaski Markus Heinonen Vikas K. Garg 39 14 0 12 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 34 3 0 06 Oct 2022
Graph Classification via Discriminative Edge Feature Learning Yang Yi Xuequan Lu Shang Gao A. Robles-Kelly Yuejie Zhang GNN 34 7 0 05 Oct 2022
Predicting the traffic flux in the city of Valencia with Deep Learning Miguel G. Folgado V. Sanz J. Hirn Edgar G. Lorenzo J. F. U. Schölzel GNN HAI 23 1 0 04 Oct 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction Zixiao Wang Yuluo Guo Jin Zhao Yu Zhang Hui Yu Xiaofei Liao Biao Wang Ting Yu DiffM GNN 34 6 0 04 Oct 2022
STGIN: A Spatial Temporal Graph-Informer Network for Long Sequence Traffic Speed Forecasting Ruikang Luo Yaofeng Song Liping Huang Yicheng Zhang Rong Su GNN AI4TS 13 15 0 01 Oct 2022
A Multi-scale Graph Signature for Persistence Diagrams based on Return Probabilities of Random Walks Chau Pham Trung D. Q. Dang Peter Chin 78 1 0 28 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective Chaoqi Chen Yushuang Wu Qiyuan Dai Hong-Yu Zhou Mutian Xu Sibei Yang Xiaoguang Han Yizhou Yu ViT MedIm AI4CE 32 74 0 27 Sep 2022
DeepGraphONet: A Deep Graph Operator Network to Learn and Zero-shot Transfer the Dynamic Response of Networked Systems Yixuan Sun Christian Moya Guang Lin Meng Yue GNN 57 9 0 21 Sep 2022
Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka 3DPC 52 11 0 20 Sep 2022
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 249 32 0 16 Sep 2022
Residual Correction in Real-Time Traffic Forecasting Daejin Kim Young Cho Dongmin Kim Cheonbok Park Jaegul Choo 21 7 0 12 Sep 2022
Self-supervised Learning for Heterogeneous Graph via Structure Information based on Metapath Shuai Ma Jian-wei Liu Xin Zuo SSL 45 5 0 09 Sep 2022
Higher-order Clustering and Pooling for Graph Neural Networks Alexandre Duval Fragkiskos D. Malliaros 55 38 0 02 Sep 2022
Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks Dingyi Zhuang Shenhao Wang Haris N. Koutsopoulos Jinhua Zhao 31 33 0 11 Aug 2022
Neural network layers as parametric spans M. Bergomi Pietro Vertechi AI4CE 41 2 0 01 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 40 1 0 29 Jul 2022
Planning and Learning: Path-Planning for Autonomous Vehicles, a Review of the Literature Kevin Osanlou Christophe Guettier Tristan Cazenave Éric Jacopin 34 3 0 26 Jul 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization Ningyi Liao Dingheng Mo Siqiang Luo Xiang Li Pengcheng Yin GNN AI4CE 26 21 0 19 Jul 2022
Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction Yuankai Wu Hongyu Yang Yi Lin Hong Liu AI4TS 14 16 0 14 Jul 2022
Edge Augmentation on Disconnected Graphs via Eigenvalue Elevation Tianyi Li 14 0 0 12 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 21 3 0 05 Jul 2022
Enhancing Local Feature Learning Using Diffusion for 3D Point Cloud Understanding H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka DiffM 3DPC 22 0 0 04 Jul 2022
Optimization-Induced Graph Implicit Nonlinear Diffusion Qi Chen Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin DiffM 53 32 0 29 Jun 2022
Image Aesthetics Assessment Using Graph Attention Network Koustav Ghosal A. Smolic 20 5 0 26 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 48 127 0 22 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 33 17 0 11 Jun 2022
Synthetic Over-sampling for Imbalanced Node Classification with Graph Neural Networks Tianxiang Zhao Xiang Zhang Suhang Wang 33 6 0 10 Jun 2022
A Simple yet Effective Method for Graph Classification Junran Wu Shangzhe Li Jianhao Li Yicheng Pan Keyulu Xu 77 25 0 06 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 45 1 0 04 Jun 2022
Vision GNN: An Image is Worth Graph of Nodes Kai Han Yunhe Wang Jianyuan Guo Yehui Tang Enhua Wu GNN 3DH 35 357 0 01 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 54 0 0 31 May 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 78 19 0 27 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 39 54 0 19 May 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 75 40 0 16 May 2022
DropMessage: Unifying Random Dropping for Graph Neural Networks Taoran Fang Zhiqing Xiao Chunping Wang Jiarong Xu Xuan Yang Yang Yang 24 47 0 21 Apr 2022
Simplicial Attention Networks Christopher Wei Jin Goh Cristian Bodnar Pietro Lio GNN 52 36 0 20 Apr 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 26 1 0 18 Apr 2022