Diffusion Improves Graph Learning

28 October 2019

Stephan Günnemann

Papers citing "Diffusion Improves Graph Learning"

46 / 346 papers shown

Title
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 25 125 0 04 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 19 16 0 01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 49 290 0 27 Feb 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Feng Xia Philip S. Yu SSL 38 544 0 27 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 21 11 0 19 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 28 52 0 05 Feb 2021
Learning Graph Embeddings for Compositional Zero-shot Learning Muhammad Ferjad Naeem Yongqin Xian Federico Tombari Zeynep Akata CoGe 20 137 0 03 Feb 2021
Learning Parametrised Graph Shift Operators George Dasoulas J. Lutzeyer Michalis Vazirgiannis OOD 24 21 0 25 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 39 5 0 14 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 30 36 0 07 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
Hop-Hop Relation-aware Graph Neural Networks Li Zhang Yan Ge Haiping Lu GNN 35 6 0 21 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 34 20 0 07 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 14 24 0 02 Dec 2020
DiffusionNet: Discretization Agnostic Learning on Surfaces Nicholas Sharp Souhaib Attaiki Keenan Crane M. Ovsjanikov 3DH 27 197 0 01 Dec 2020
Revisiting graph neural networks and distance encoding from a practical view Haoteng Yin Yanbang Wang Pan Li AI4CE 34 5 0 22 Nov 2020
Self-supervised Graph Representation Learning via Bootstrapping Feihu Che Guohua Yang Dawei Zhang J. Tao Pengpeng Shao Tong Liu SSL 8 23 0 10 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 60 1,179 0 04 Nov 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 8 71 0 29 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 18 142 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 21 44 0 28 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 34 1,078 0 27 Oct 2020
Iterative Graph Self-Distillation Hanlin Zhang Shuai Lin Weiyang Liu Pan Zhou Jian Tang Xiaodan Liang Eric Xing SSL 62 33 0 23 Oct 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 17 131 0 29 Sep 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory Asif Salim S. Sumitra GNN 27 3 0 29 Sep 2020
Graph Neural Networks with Heterophily Jiong Zhu Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Nesreen Ahmed Danai Koutra 28 303 0 28 Sep 2020
GraphCrop: Subgraph Cropping for Graph Classification Yiwei Wang Wei Wang Keli Zhang Yujun Cai Bryan Hooi 25 57 0 22 Sep 2020
SAIL: Self-Augmented Graph Contrastive Learning Lu Yu Shichao Pei Lizhong Ding Jun Zhou Longfei Li Chuxu Zhang Xiangliang Zhang SSL 26 39 0 02 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 31 12 0 31 Aug 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs Dominik Alfke Martin Stoll GNN 24 5 0 03 Aug 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 57 1,451 0 04 Jul 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 41 54 0 29 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 33 410 0 21 Jun 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu Yujun Yan Lingxiao Zhao Mark Heimann Leman Akoglu Danai Koutra GNN 26 34 0 20 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 31 14 0 18 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 34 715 0 14 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 31 1,275 0 10 Jun 2020
Locally Private Graph Neural Networks Sina Sajadmanesh D. Gática-Pérez 13 120 0 09 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 36 8 0 06 Jun 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 30 393 0 23 Apr 2020
Adaptive Propagation Graph Convolutional Network Indro Spinelli Simone Scardapane A. Uncini GNN 16 72 0 24 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 24 15 0 12 Feb 2020
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 27 150 0 02 Dec 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 24 66 0 26 May 2019
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 279 1,948 0 09 Jun 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016