Jiawang Dan

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All published works

Action	Title	Year	Authors
+ PDF Chat	Self-supervision meets kernel graph neural models: From architecture to augmentations	2023	Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng Tengfei Liu Tianyi Zhang Ningtao Wang Xing Fu Qi Li
+	GUARD: Graph Universal Adversarial Defense	2023	Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang
+	Self-supervision meets kernel graph neural models: From architecture to augmentations	2023	Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng Tengfei Liu Tianyi Zhang Ningtao Wang Xing Fu Qi Li
+	Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs	2023	Jintang Li Zheng Wei Jiawang Dan Jing Zhou Yuchang Zhu Ruofan Wu Baokun Wang Zhen Zhang Changhua Meng Jin Hong
+	LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning	2023	Jintang Li Jiawang Dan Ruofan Wu Jing Zhou Sheng Tian Yunfei Liu Baokun Wang Changhua Meng Weiqiang Wang Yuchang Zhu

Common Coauthors

Coauthor	Papers Together
Changhua Meng	5
Baokun Wang	4
Ruofan Wu	3
Zibin Zheng	3
Jintang Li	2
Jing Zhou	2
Ruofan Wu	2
Weiqiang Wang	2
Xing Fu	2
Yunpeng Liu	2
Tianyi Zhang	2
Tengfei Liu	2
Yuchang Zhu	2
Ningtao Wang	2
Weiqiang Wang	1
Qi Li	1
Qi Li	1
Zheng Wei	1
Yunfei Liu	1
Weiqiang Wang	1
Zhen Zhang	1
Sheng Tian	1
Jintang Li	1
Jin Hong	1
Liang Chen	1
Jie Liao	1
Liang Chen	1
Liang Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A Survey of Statistical Network Models	2009	Anna Goldenberg	1
+ PDF Chat	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis	1
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	1
+	Relational inductive biases, deep learning, and graph networks	2018	Peter Battaglia Jessica B. Hamrick Victor Bapst Álvaro Sánchez‐González Vinícius Zambaldi Mateusz Malinowski Andrea Tacchetti David Raposo Adam Santoro Ryan Faulkner	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	Hierarchical Graph Representation Learning with Differentiable Pooling	2018	Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton Jure Leskovec	1
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Adversarial Examples for Graph Data: Deep Insights into Attack and Defense	2019	Huijun Wu Chen Wang Yuriy Tyshetskiy Andrew Docherty Kai Lü Liming Zhu	1
+	Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective	2019	Kaidi Xu Hongge Chen Sijia Liu Pin‐Yu Chen Tsui-Wei Weng Mingyi Hong Xue Lin	1
+	Adversarial Attacks on Neural Networks for Graph Data	2019	Daniel Zügner Amir Akbarnejad Stephan Günnemann	1
+ PDF Chat	Deep Learning on Graphs: A Survey	2020	Ziwei Zhang Peng Cui Wenwu Zhu	1
+	Graph Structure Learning for Robust Graph Neural Networks	2020	Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang	1
+	Graph Contrastive Learning with Augmentations	2020	Yuning You Tianlong Chen Yongduo Sui Ting Chen Zhangyang Wang Yang Shen	1
+ PDF Chat	A Semi-Supervised Graph Attentive Network for Financial Fraud Detection	2019	Daixin Wang Qi Yuan Jianbin Lin Peng Cui Quanhui Jia Zhen Wang Yanming Fang Quan Yu Jun Zhou Shuang Yang	1
+ PDF Chat	GCC	2020	Jiezhong Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang	1
+ PDF Chat	Node Similarity Preserving Graph Convolutional Networks	2021	Wei Jin Tyler Derr Yiqi Wang Yao Ma Zitao Liu Jiliang Tang	1
+ PDF Chat	Self-supervised Graph Learning for Recommendation	2021	Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie	1
+ PDF Chat	Adversarial Attack on Large Scale Graph	2021	Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng	1
+	Adversarial Graph Augmentation to Improve Graph Contrastive Learning	2021	Susheel Suresh Li Pan Cong Hao Jennifer Neville	1
+ PDF Chat	Exploring Simple Siamese Representation Learning	2021	Xinlei Chen Kaiming He	1
+	Understanding Structural Vulnerability in Graph Convolutional Networks	2021	Liang Chen Jintang Li Qibiao Peng Yang Liu Zibin Zheng Carl Yang	1
+	A Survey on Universal Adversarial Attack	2021	Chaoning Zhang Philipp Benz Chenguo Lin Adil Karjauv Jing Wu In So Kweon	1
+	Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models	2021	Xiao Zang Yi Xie Jie Chen Bo Yuan	1
+ PDF Chat	Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive	2021	Lirong Wu Haitao Lin Cheng Tan Zhangyang Gao Stan Z. Li	1
+ PDF Chat	KerGNNs: Interpretable Graph Neural Networks with Graph Kernels	2022	Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas	1
+	Weisfeiler and Leman go Machine Learning: The Story so far	2021	Christopher G. Morris Yaron Lipman Haggai Maron Bastian Rieck Nils M. Kriege Martin Grohe Matthias Fey Karsten Borgwardt	1
+	A Fair Comparison of Graph Neural Networks for Graph Classification	2019	Federico Errica Marco Podda Davide Bacciu Alessio Micheli	1
+	Diffusion Improves Graph Learning	2019	Johannes Gasteiger Stefan Weißenberger Stephan Günnemann	1
+	InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization	2019	Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang	1
+	GraphMAE: Self-Supervised Masked Graph Autoencoders	2022	Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang Chunjie Wang Jie Tang	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
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	1
+	Spectral Augmentation for Self-Supervised Learning on Graphs	2022	Lu Lin Jinghui Chen Hongning Wang	1
+	Universal adversarial perturbations	2016	Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi Pascal Frossard	1
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	1