Saizhuo Wang

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All published works

Action	Title	Year	Authors
+	Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph	2023	Jiashuo Sun Chengjin Xu Lumingyuan Tang Saizhuo Wang Lin Chen Yeyun Gong Heung‐Yeung Shum Jian Guo
+	On the Evolution of Knowledge Graphs: A Survey and Perspective	2023	Xuhui Jiang Chengjin Xu Yinghan Shen Xun Sun Lumingyuan Tang Saizhuo Wang Zhongwu Chen Yuanzhuo Wang Jian Guo
+	A Principled Framework for Knowledge-enhanced Large Language Model	2023	Saizhuo Wang Zhihan Liu Zhaoran Wang Jian Guo
+ PDF Chat	Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings	2022	Yuhao Mao Chong Fu Saizhuo Wang Shouling Ji Xuhong Zhang Zhenguang Liu Jun Zhou Alex X. Liu Raheem Beyah Ting Wang
+	Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings	2022	Yuhao Mao Chong Fu Saizhuo Wang Shouling Ji Xuhong Zhang Zhenguang Liu Jun Zhou Alex X. Liu Raheem Beyah Ting Wang
+ PDF Chat	Multilevel Graph Matching Networks for Deep Graph Similarity Learning	2021	Xiang Ling Lingfei Wu Saizhuo Wang Tengfei Ma Fangli Xu Alex X. Liu Chunming Wu Shouling Ji
+ PDF Chat	Deep Graph Matching and Searching for Semantic Code Retrieval	2021	Xiang Ling Lingfei Wu Saizhuo Wang Gaoning Pan Tengfei Ma Fangli Xu Alex X. Liu Chunming Wu Shouling Ji

Common Coauthors

Coauthor	Papers Together
Alex X. Liu	4
Shouling Ji	4
Chengjin Xu	2
Yuhao Mao	2
Lingfei Wu	2
Raheem Beyah	2
Fangli Xu	2
Chunming Wu	2
Tengfei Ma	2
Ting Wang	2
Jun Zhou	2
Lumingyuan Tang	2
Xiang Ling	2
Zhenguang Liu	2
Xuhong Zhang	2
Jian Guo	1
Xun Sun	1
Yinghan Shen	1
Zhongwu Chen	1
Xuhui Jiang	1
Zhaoran Wang	1
Chong Fu	1
Gaoning Pan	1
Jian Guo	1
Lin Chen	1
Yeyun Gong	1
Jiashuo Sun	1
Jian Guo	1
Yuanzhuo Wang	1
Zhihan Liu	1
Heung‐Yeung Shum	1
Chong Fu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	2
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+	Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings	2020	Yu Chen Lingfei Wu Mohammed J. Zaki	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	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
+ PDF Chat	Geometric Deep Learning: Going beyond Euclidean data	2017	Michael M. Bronstein Joan Bruna Yann LeCun Arthur Szlam Pierre Vandergheynst	2
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	2
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	2
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	2
+	Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples	2016	Nicolas Papernot Patrick McDaniel Ian Goodfellow	1
+ PDF Chat	Fully-Convolutional Siamese Networks for Object Tracking	2016	Luca Bertinetto Jack Valmadre João F. Henriques Andrea Vedaldi Philip H. S. Torr	1
+ PDF Chat	Enriching Word Vectors with Subword Information	2017	Piotr Bojanowski Édouard Grave Armand Joulin Tomáš Mikolov	1
+ PDF Chat	Gated Siamese Convolutional Neural Network Architecture for Human Re-identification	2016	Rahul Rama Varior Mrinal Haloi Gang Wang	1
+ PDF Chat	Universal Adversarial Perturbations	2017	Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi Pascal Frossard	1
+	Delving into Transferable Adversarial Examples and Black-box Attacks	2016	Yanpei Liu Xinyun Chen Chang Liu Dawn Song	1
+	Bilateral Multi-Perspective Matching for Natural Language Sentences	2017	Zhiguo Wang Wael Hamza Radu Florian	1
+ PDF Chat	Practical Black-Box Attacks against Machine Learning	2017	Nicolas Papernot Patrick McDaniel Ian Goodfellow Somesh Jha Z. Berkay Celik Ananthram Swami	1
+	Modeling Relational Data with Graph Convolutional Networks	2018	Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling	1
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	1
+ PDF Chat	Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties	2018	Tian Xie Jeffrey C. Grossman	1
+	D2KE: From Distance to Kernel and Embedding	2018	Lingfei Wu Ian En-Hsu Yen Fangli Xu Pradeep Ravikumar Michael Witbrock	1
+	Learning Deep Generative Models of Graphs	2018	Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter Battaglia	1
+	Understanding and Enhancing the Transferability of Adversarial Examples	2018	Lei Wu Zhanxing Zhu Cheng Tai E Weinan	1
+	Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design.	2018	Bidisha Samanta Abir De Niloy Ganguly Manuel Gomez-Rodriguez	1
+ PDF Chat	Adversarial Attacks on Neural Networks for Graph Data	2018	Daniel Zügner Amir Akbarnejad Stephan Günnemann	1
+	GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models	2018	Jiaxuan You Rex Ying Xiang Ren William L. Hamilton Jure Leskovec	1
+	code2seq: Generating Sequences from Structured Representations of Code	2018	Uri Alon Shaked Brody Omer Levy Eran Yahav	1
+ PDF Chat	Is Robustness the Cost of Accuracy? – A Comprehensive Study on the Robustness of 18 Deep Image Classification Models	2018	Dong Su Huan Zhang Hongge Chen Jinfeng Yi Pin‐Yu Chen Yupeng Gao	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	CoaCor: Code Annotation for Code Retrieval with Reinforcement Learning	2019	Ziyu Yao Jayavardhan Reddy Peddamail Huan Sun	1
+	Self-Attention Graph Pooling	2019	Junhyun Lee Inyeop Lee Jaewoo Kang	1
+	Graph Matching Networks for Learning the Similarity of Graph Structured Objects	2019	Yujia Li Chenjie Gu Thomas Dullien Oriol Vinyals Pushmeet Kohli	1
+	Hierarchical Graph Representation Learning with Differentiable Pooling	2018	Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton Jure Leskovec	1
+	Graph U-Nets	2019	Hongyang Gao Shuiwang Ji	1
+ PDF Chat	See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks	2019	Xiankai Lu Wenguan Wang Chao Ma Jianbing Shen Ling Shao Fatih Porikli	1
+	Structured Neural Summarization	2018	Patrick Fernandes Miltiadis Allamanis Marc Brockschmidt	1
+	Black-box Adversarial Attacks with Limited Queries and Information	2018	Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin	1
+	Graph Convolutional Networks with EigenPooling	2019	Yao Ma Suhang Wang Charų C. Aggarwal Jiliang Tang	1
+ PDF Chat	Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks	2017	Jae Shin Yoon François Rameau Junsik Kim Seokju Lee Seunghak Shin In So Kweon	1
+	Self-Attention Graph Pooling	2019	Junhyun Lee Inyeop Lee Jaewoo Kang	1
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Attention is All you Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	1
+	Learning to Represent Programs with Graphs	2017	Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi	1
+ PDF Chat	Adversarial Examples in the Physical World	2018	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Ensemble Adversarial Training: Attacks and Defenses	2017	Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel	1
+	Link Prediction Based on Graph Neural Networks	2018	Muhan Zhang Yixin Chen	1
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	1
+ PDF Chat	A Survey of Machine Learning for Big Code and Naturalness	2018	Miltiadis Allamanis Earl T. Barr Prémkumar Dévanbu Charles Sutton	1