Ming Zhang

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All published works

Action	Title	Year	Authors
+ PDF Chat	GLCC: A General Framework for Graph-Level Clustering	2023	Lili Ju Yiyang Gu Binqi Chen Gongbo Sun Yifang Qin Xingyuming Liu Xiao Luo Ming Zhang
+	A Comprehensive Survey on Deep Graph Representation Learning	2023	Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long Ziyue Qiao Yifang Qin Jianhao Shen Fang Sun Zhiping Xiao
+	GLCC: A General Framework for Graph-Level Clustering	2022	Lili Ju Yiyang Gu Binqi Chen Gongbo Sun Yifang Qin Xingyuming Liu Xiao Luo Ming Zhang

Common Coauthors

Coauthor	Papers Together
Xiao Luo	3
Yifang Qin	3
Xingyuming Liu	2
Lili Ju	2
Binqi Chen	2
Yiyang Gu	2
Gongbo Sun	2
Zheng Fang	1
Junwei Yang	1
Jianhao Shen	1
Fang Sun	1
Yusheng Zhao	1
Jingyang Yuan	1
Wei Ju	1
Qingqing Long	1
Zhiping Xiao	1
Yiyang Gu	1
Ziyue Qiao	1
Zequn Liu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	2
+	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization	2019	Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+ PDF Chat	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation	2022	Jun Xia Lirong Wu Jintao Chen Bozhen Hu Stan Z. Li	2
+ PDF Chat	TGNN: A Joint Semi-supervised Framework for Graph-level Classification	2022	Wei Ju Xiao Luo Meng Qu Yifan Wang Chong Chen Minghua Deng Xian–Sheng Hua Ming Zhang	2
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+ PDF Chat	The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains	2013	David I Shuman Sunil K. Narang Pascal Frossard Antonio Ortega Pierre Vandergheynst	1
+ PDF Chat	Discrimination in online ad delivery	2013	Latanya Sweeney	1
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	1
+	A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials	2016	Kaitlyn Gayvert Neel S. Madhukar Olivier Elemento	1
+ PDF Chat	European Union Regulations on Algorithmic Decision Making and a “Right to Explanation”	2017	Bryce Goodman Seth Flaxman	1
+	A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	2016	Dan Hendrycks Kevin Gimpel	1
+	Low Data Drug Discovery with One-Shot Learning	2017	Han Altae-Tran Bharath Ramsundar Aneesh Pappu Vijay S. Pande	1
+ PDF Chat	MoleculeNet: a benchmark for molecular machine learning	2017	Zhenqin Wu Bharath Ramsundar Evan N. Feinberg Joseph Gomes Caleb Geniesse Aneesh Pappu Karl Leswing Vijay S. Pande	1
+	Wavelets on graphs via spectral graph theory	2010	David K. Hammond Pierre Vandergheynst Rémi Gribonval	1
+ PDF Chat	Discrete Signal Processing on Graphs	2013	Aliaksei Sandryhaila José M. F. Moura	1
+ PDF Chat	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis	1
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	1
+	The Frontiers of Fairness in Machine Learning	2018	Alexandra Chouldechova Aaron Roth	1
+ PDF Chat	Graph embedding techniques, applications, and performance: A survey	2018	Palash Goyal Emilio Ferrara	1
+	Graph Convolutional Matrix Completion	2017	Rianne van den Berg Thomas Kipf Max Welling	1
+ PDF Chat	HARP: Hierarchical Representation Learning for Networks	2018	Haochen Chen Bryan Perozzi Yifan Hu Steven Skiena	1
+	Don't Walk, Skip! Online Learning of Multi-scale Network Embeddings	2016	Bryan Perozzi Vivek Kulkarni Haochen Chen Steven Skiena	1
+	Learning Graph-Level Representation for Drug Discovery	2017	Junying Li Deng Cai Xiaofei He	1
+ PDF Chat	SchNet – A deep learning architecture for molecules and materials	2018	Kristof T. Schütt Huziel E. Sauceda Pieter-Jan Kindermans Alexandre Tkatchenko K. Müller	1
+	Junction Tree Variational Autoencoder for Molecular Graph Generation	2018	Wengong Jin Regina Barzilay Tommi Jaakkola	1
+	Neural Relational Inference for Interacting Systems	2018	Thomas Kipf Ethan Fetaya Kuan-Chieh Wang Max Welling Richard S. Zemel	1
+ PDF Chat	Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction	2018	Huaxiu Yao Fei Wu Jintao Ke Xianfeng Tang Yitian Jia Siyu Lu Pinghua Gong Jieping Ye Zhenhui Li	1
+	Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds	2018	Nathaniel Thomas Tess Smidt Steven Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick Riley	1
+ PDF Chat	Cross-language Citation Recommendation via Hierarchical Representation Learning on Heterogeneous Graph	2018	Zhuoren Jiang Yue Yin Liangcai Gao Yao Lu Xiaozhong Liu	1
+	BPR: Bayesian Personalized Ranking from Implicit Feedback	2012	Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme	1
+ PDF Chat	Hypergraph Neural Networks	2019	Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+	Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network	2018	Seongok Ryu Jaechang Lim Seung Hwan Hong Woo Youn Kim	1
+	PotentialNet for Molecular Property Prediction	2018	Evan N. Feinberg Debnil Sur Zhenqin Wu Brooke E. Husic Huanghao Mai Yang Li Saisai Sun Jianyi Yang Bharath Ramsundar Vijay S. Pande	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Heterogeneous Graph Neural Networks for Malicious Account Detection	2018	Ziqi Liu Chaochao Chen Xinxing Yang Jun Zhou Xiaolong Li Le Song	1
+	Representation Learning on Graphs with Jumping Knowledge Networks	2018	Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken‐ichi Kawarabayashi Stefanie Jegelka	1
+	DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation	2018	Rim Assouel Mohamed M. Ahmed Marwin Segler Amir Saffari Yoshua Bengio	1
+ PDF Chat	Scientific Paper Recommendation: A Survey	2019	Xiaomei Bai Mengyang Wang Ivan Lee Zhuo Yang Xiangjie Kong Feng Xia	1
+ PDF Chat	Heterogeneous Graph Attention Network	2019	Xiao Wang Houye Ji Chuan Shi Bai Wang Yanfang Ye Peng Cui Philip S. Yu	1
+	Graph Learning Network: A Structure Learning Algorithm	2019	Darwin Danilo Saire Pilco Adıń Ramıŕez Rivera	1
+ PDF Chat	Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation	2019	Hongwei Wang Fuzheng Zhang Miao Zhao Wenjie Li Xing Xie Minyi Guo	1
+ PDF Chat	Semi-Supervised Graph Classification: A Hierarchical Graph Perspective	2019	Jia Li Yu Rong Hong Cheng Helen Meng Wenbing Huang Junzhou Huang	1
+ PDF Chat	DDGK: Learning Graph Representations for Deep Divergence Graph Kernels	2019	Rami Al‐Rfou Bryan Perozzi Dustin Zelle	1
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	1
+	Learning Discrete Structures for Graph Neural Networks	2019	Luca Franceschi Mathias Niepert Massimiliano Pontil Xiao He	1
+	Self-Attention Graph Pooling	2019	Junhyun Lee Inyeop Lee Jaewoo Kang	1
+	Constrained Graph Variational Autoencoders for Molecule Design	2018	Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt	1