Feng Yu

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All published works

Action	Title	Year	Authors
+ PDF Chat	Graph Contrastive Learning with Adaptive Augmentation	2021	Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang
+	Deep Active Graph Representation Learning.	2020	Yanqiao Zhu Weizhi Xu Feng Yu Qiang Liu Shu Wu Liang Wang
+	Deep Graph Contrastive Representation Learning	2020	Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang
+	CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning	2020	Yanqiao Zhu Yichen Xu Feng Yu Shu Wu Liang Wang

Common Coauthors

Coauthor	Papers Together
Yanqiao Zhu	4
Shu Wu	4
Yichen Xu	3
Liang Wang	2
Qiang Liu	2
Liang Wang	2
Weizhi Xu	1
Qiang Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	4
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+ PDF Chat	Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec	2018	Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang	3
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	3
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	3
+	On Variational Bounds of Mutual Information	2019	Ben Poole Sherjil Ozair Aäron van den Oord Alexander A. Alemi George Tucker	2
+	Attributed Graph Clustering via Adaptive Graph Convolution	2019	Xiaotong Zhang Han Liu Qimai Li Xiao-Ming Wu	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	2
+	On Mutual Information Maximization for Representation Learning	2020	Michael Tschannen Josip Djolonga Paul K. Rubenstein Sylvain Gelly Mario Lučić	2
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	2
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+	Learning deep representations by mutual information estimation and maximization	2018	R Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Phil Bachman Adam Trischler Yoshua Bengio	2
+	Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics	2012	Michael U. Gutmann Aapo Hyvärinen	2
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	2
+ PDF Chat	FaceNet: A unified embedding for face recognition and clustering	2015	Florian Schroff Dmitry Kalenichenko James Philbin	2
+ PDF Chat	An Information Flow Model for Conflict and Fission in Small Groups	1977	Wayne Zachary	2
+	Data-Efficient Image Recognition with Contrastive Predictive Coding	2019	Olivier J. Hénaff Aravind Srinivas Jeffrey De Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aäron van den Oord	2
+ PDF Chat	Colorization as a Proxy Task for Visual Understanding	2017	Gustav Larsson Michael Maire Gregory Shakhnarovich	2
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	2
+	DropEdge: Towards Deep Graph Convolutional Networks on Node Classification	2019	Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang	1
+ PDF Chat	Graph Representation Learning via Graphical Mutual Information Maximization	2020	Zhen Peng Wenbing Huang Minnan Luo Qinghua Zheng Yu Rong Tingyang Xu Junzhou Huang	1
+	What Makes for Good Views for Contrastive Learning?	2020	Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola	1
+	On Mutual Information in Contrastive Learning for Visual Representations	2020	Mike Wu Chengxu Zhuang Milan Mosse Daniel Yamins Noah D. Goodman	1
+	Deep Graph Contrastive Representation Learning	2020	Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang	1
+	Contrastive Multi-View Representation Learning on Graphs	2020	Kaveh Hassani Amir Hosein Khasahmadi	1
+	Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks	2020	Péter Mernyei Cătălina Cangea	1
+	What Should Not Be Contrastive in Contrastive Learning	2020	Tete Xiao Xiao-Long Wang Alexei A. Efros Trevor Darrell	1
+	A Framework For Contrastive Self-Supervised Learning And Designing A New Approach	2020	William Falcon Kyunghyun Cho	1
+ PDF Chat	GCC	2020	Jiezhong Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang	1
+ PDF Chat	LINE	2015	Jian Tang Meng Qu Wang Ming-zhe Ming Zhang Jun Yan Qiaozhu Mei	1
+ PDF Chat	Contrastive Multiview Coding	2020	Yonglong Tian Dilip Krishnan Phillip Isola	1
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	1
+	Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks	2020	Péter Mernyei Cătălina Cangea	1
+	Diffusion Improves Graph Learning	2019	Johannes Gasteiger Stefan Weißenberger Stephan Günnemann	1
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	1
+	Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification	2019	Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan	1
+ PDF Chat	Network Embedding as Matrix Factorization	2018	Jiezhong Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang	1
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	node2vec: Scalable Feature Learning for Networks	2016	Aditya Grover Jure Leskovec	1
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	1
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+ PDF Chat	Cooperative Game Theory Approaches for Network Partitioning	2017	Konstantin Avrachenkov Aleksei Y. Kondratev Vladimir V. Mazalov	1