Huixuan Chi

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All published works

Action	Title	Year	Authors
+ PDF Chat	CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks	2024	Yuanchen Bei Hao Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu
+	CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks	2023	Yuanchen Bei Hao Xu Sheng Zhou Huixuan Chi Mengdi Zhang Zhao Li Jiajun Bu
+	Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation	2023	Huixuan Chi Hao Xu Mengya Liu Yuanchen Bei Sheng Zhou Danyang Liu Mengdi Zhang
+ PDF Chat	Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks	2022	Huixuan Chi Yuying Wang Qinfen Hao Xia Hong
+	Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation	2022	Huixuan Chi Hao Xu Hao Fu Mengya Liu Mengdi Zhang Yuji Yang Qinfen Hao Wei Wu

Common Coauthors

Coauthor	Papers Together
Yuanchen Bei	3
Mengdi Zhang	2
Mengdi Zhang	2
Qinfen Hao	2
Hao Xu	2
Hao Xu	2
Zhao Li	2
Mengya Liu	2
Sheng Zhou	2
Jiajun Bu	2
Wei Wu	1
Yuji Yang	1
Haishuai Wang	1
Yuying Wang	1
Hao Fu	1
Xia Hong	1
Danyang Liu	1
Sheng Zhou	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	2
+ PDF Chat	Epidemic Spreading in Scale-Free Networks	2001	Romualdo Pastor‐Satorras Alessandro Vespignani	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	1
+	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018	Jie Chen Tengfei Ma Cao Xiao	1
+	Representation Learning on Graphs with Jumping Knowledge Networks	2018	Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken‐ichi Kawarabayashi Stefanie Jegelka	1
+	Pitfalls of Graph Neural Network Evaluation	2018	Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann	1
+	Deep learning in bioinformatics: Introduction, application, and perspective in the big data era	2019	Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao	1
+	Cluster-GCN	2019	Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho‐Jui Hsieh	1
+	Adversarial Attacks on Node Embeddings via Graph Poisoning	2018	Aleksandar Bojchevski Stephan Günnemann	1
+	Predict then Propagate: Graph Neural Networks meet Personalized PageRank	2018	Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann	1
+	Hierarchical Graph Representation Learning with Differentiable Pooling	2018	Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton Jure Leskovec	1
+	GraphSAINT: Graph Sampling Based Inductive Learning Method	2019	Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor K. Prasanna	1
+	FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling	2018	Jie Chen Tengfei Ma Cao Xiao	1
+ PDF Chat	Semi-supervised User Geolocation via Graph Convolutional Networks	2018	Afshin Rahimi Trevor Cohn Timothy Baldwin	1
+ PDF Chat	Column Networks for Collective Classification	2017	Trang Pham Truyen Tran Dinh Phung Svetha Venkatesh	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	PairNorm: Tackling Oversmoothing in GNNs	2019	Lingxiao Zhao Leman Akoglu	1
+ PDF Chat	DeepGCNs: Can GCNs Go As Deep As CNNs?	2019	Guohao Li Matthias Müller Ali Thabet Bernard Ghanem	1
+	GraphSAINT: Graph Sampling Based Inductive Learning Method	2019	Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor K. Prasanna	1
+	PairNorm: Tackling Oversmoothing in GNNs	2020	Lingxiao Zhao Leman Akoglu	1
+ PDF Chat	Deep Learning on Graphs: A Survey	2020	Ziwei Zhang Peng Cui Wenwu Zhu	1
+	SIGN: Scalable Inception Graph Neural Networks	2020	Emanuele Rossi Fabrizio Frasca Ben Chamberlain Davide Eynard Michael M. Bronstein Federico Monti	1
+ PDF Chat	Foundations and Modeling of Dynamic Networks Using Dynamic Graph Neural Networks: A Survey	2021	Joakim Skarding Bogdan Gabryś Katarzyna Musiał	1
+	GNNGuard: Defending Graph Neural Networks against Adversarial Attacks	2020	Xiang Zhang Marinka Žitnik	1
+	DeeperGCN: All You Need to Train Deeper GCNs	2020	Guohao Li Chenxin Xiong Ali Thabet Bernard Ghanem	1
+	Towards Deeper Graph Neural Networks	2020	Meng Liu Hongyang Gao Shuiwang Ji	1
+	Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification	2020	Yunsheng Shi Zhengjie Huang Wenjin Wang Hui Zhong Shikun Feng Yu Sun	1
+	FLAG: Adversarial Data Augmentation for Graph Neural Networks	2021	Kezhi Kong Guohao Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein	1
+	Combining Label Propagation and Simple Models Out-performs Graph Neural Networks	2020	Qian Huang Horace He Abhay Pratap Singh Ser-Nam Lim Austin R. Benson	1
+ PDF Chat	Graph Neural Networks in Recommender Systems: A Survey	2022	Shiwen Wu Fei Sun Wentao Zhang X. H. Xie Bin Cui	1
+ PDF Chat	GCC	2020	Jiezhong Qiu Qibin Chen Yuxiao Dong Jing Zhang Hongxia Yang Ming Ding Kuansan Wang Jie Tang	1
+	Open Graph Benchmark: Datasets for Machine Learning on Graphs	2020	Weihua Hu Matthias Fey Marinka Žitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta Jure Leskovec	1
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	1
+	Understanding and Resolving Performance Degradation in Graph Convolutional Networks	2020	Kuangqi Zhou Yanfei Dong Kaixin Wang Wee Sun Lee Bryan Hooi Huan Xu Jiashi Feng	1
+ PDF Chat	Pre-training on dynamic graph neural networks	2022	Kejia Chen Jiajun Zhang Linpu Jiang Yunyun Wang Yuxuan Dai	1
+	Bag of Tricks for Node Classification with Graph Neural Networks	2021	Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng Zhang David Wipf	1
+	Bag of Tricks of Semi-Supervised Classification with Graph Neural Networks.	2021	Yangkun Wang	1
+ PDF Chat	Transformers in Vision: A Survey	2022	Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan Mubarak Shah	1
+	A Comprehensive Survey on Graph Neural Networks	2020	Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu	1
+	A Fair Comparison of Graph Neural Networks for Graph Classification	2019	Federico Errica Marco Podda Davide Bacciu Alessio Micheli	1
+	Predict then Propagate: Graph Neural Networks meet Personalized PageRank	2018	Johannes Gasteiger Aleksandar Bojchevski Stephan Günnemann	1
+	GraphMAE: Self-Supervised Masked Graph Autoencoders	2022	Zhenyu Hou Xiao Liu Yukuo Cen Yuxiao Dong Hongxia Yang Chunjie Wang Jie Tang	1
+ PDF Chat	ROLAND: Graph Learning Framework for Dynamic Graphs	2022	Jiaxuan You Tianyu Du Jure Leskovec	1
+ PDF Chat	A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning	2022	Li Sun Junda Ye Hao Peng Philip S. Yu	1
+	node2vec: Scalable Feature Learning for Networks	2016	Aditya Grover Jure Leskovec	1
+ PDF Chat	Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate Prediction	2022	Huinan Sun Guangliang Yu Pengye Zhang Bo Zhang Xingxing Wang Dong Wang	1