Jintang Li

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All published works
Action Title Year Authors
+ PDF Chat KĂ€hler-Finsler manifolds with positive curvatures 2025 Jinling Li
Jintang Li
Chunhui Qiu
Qixin Zhang
+ PDF Chat Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective 2024 Jintang Li
Ruofan Wu
Yuchang Zhu
Huizhe Zhang
Xinzhou Jin
Guibin Zhang
Zulun Zhu
Zibin Zheng
Liang Chen
+ PDF Chat Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective 2024 Yunfei Liu
Jintang Li
Yuehe Chen
Ruofan Wu
Ericbk Wang
Zhou Jing
Tian Sheng
Shuheng Shen
Xing Fu
Changhua Meng
+ PDF Chat One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes 2024 Yuchang Zhu
Jintang Li
Yatao Bian
Zibin Zheng
Liang Chen
+ PDF Chat State Space Models on Temporal Graphs: A First-Principles Study 2024 Jintang Li
Ruofan Wu
Xinzhou Jin
Boqun Ma
Liang Chen
Zibin Zheng
+ PDF Chat SGHormer: An Energy-Saving Graph Transformer Driven by Spikes 2024 Huizhe Zhang
Jintang Li
Liang Chen
Zibin Zheng
+ SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs 2023 Tian Sheng
Jihai Dong
Jintang Li
Wenlong Zhao
Xiaolong Xu
Baokun Wang
Bowen Song
Changhua Meng
Tianyi Zhang
Liang Chen
+ PDF Chat Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks 2023 Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Tian Sheng
Ruofan Wu
Changhua Meng
+ PDF Chat Neighboring Backdoor Attacks on Graph Convolutional Network 2023 Liang Chen
Qibiao Peng
Jintang Li
Yang Liu
Zibin Zheng
+ Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs 2023 Jintang Li
Tian Sheng
Ruofan Wu
Liang Zhu
Welong Zhao
Changhua Meng
Liang Chen
Zibin Zheng
Hongzhi Yin
+ SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs 2023 Tian Sheng
Jihai Dong
Jintang Li
Wenlong Zhao
Xiaolong Xu
Baokun wang
Bowen Song
Changhua Meng
Tianyi Zhang
Liang Chen
+ A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks 2023 Jintang Li
Huizhe Zhang
Ruofan Wu
Zulun Zhu
Liang Chen
Zibin Zheng
Baokun Wang
Changhua Meng
+ Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning 2023 Jintang Li
Wangbin Sun
Ruofan Wu
Yuchang Zhu
Liang Chen
Zibin Zheng
+ SAILOR: Structural Augmentation Based Tail Node Representation Learning 2023 Jie Liao
Jintang Li
Liang Chen
Bingzhe Wu
Yatao Bian
Zibin Zheng
+ 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
+ The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation 2023 Yuchang Zhu
Jintang Li
Liang Chen
Zibin Zheng
+ Rethinking and Simplifying Bootstrapped Graph Latents 2023 Wangbin Sun
Jintang Li
Liang Chen
Bingzhe Wu
Yatao Bian
Zibin Zheng
+ Hypersurfaces of Randers spaces with positive Ricci curvature 2022 Jintang Li
Miao Luo
+ PDF Chat Spiking Graph Convolutional Networks 2022 Zulun Zhu
Jiaying Peng
Jintang Li
Liang Chen
Qi Yu
Siqiang Luo
+ GUARD: Graph Universal Adversarial Defense 2022 Jintang Li
Jie Liao
Ruofan Wu
Liang Chen
Changhua Meng
Zibin Zheng
Weiqiang Wang
+ Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack 2022 Bingzhe Wu
Jintang Li
Chengbin Hou
Guoji Fu
Yatao Bian
Liang Chen
Junzhou Huang
+ Neighboring Backdoor Attacks on Graph Convolutional Network 2022 Liang Chen
Qibiao Peng
Jintang Li
Yang Liu
Jiawei Chen
Yong Li
Zibin Zheng
+ What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders 2022 Jintang Li
Ruofan Wu
Wangbin Sun
Liang Chen
Tian Sheng
Liang Zhu
Changhua Meng
Zibin Zheng
Weiqiang Wang
+ A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection 2022 Bingzhe Wu
Jintang Li
Junchi Yu
Yatao Bian
Hengtong Zhang
CHaochao Chen
Chengbin Hou
Guoji Fu
Liang Chen
Tingyang Xu
+ Spiking Graph Convolutional Networks 2022 Zulun Zhu
Jiaying Peng
Jintang Li
Liang Chen
Qi Yu
Siqiang Luo
+ Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks 2022 Jintang Li
Zhouxin Yu
Zulun Zhu
Liang Chen
Qi Yu
Zibin Zheng
Tian Sheng
Ruofan Wu
Changhua Meng
+ Are All Edges Necessary? A Unified Framework for Graph Purification 2022 Zishan Gu
Jintang Li
Liang Chen
+ Spectral Adversarial Training for Robust Graph Neural Network 2022 Jintang Li
Jiaying Peng
Liang Chen
Zibin Zheng
Tingting Liang
Qing Ling
+ Understanding Structural Vulnerability in Graph Convolutional Networks 2021 Liang Chen
Jintang Li
Qibiao Peng
Yang Liu
Zibin Zheng
Carl Yang
+ PDF Chat GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software 2021 Jintang Li
Kun Xu
Liang Chen
Zibin Zheng
Xiao Liu
+ GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software 2021 Jintang Li
Kun Xu
Liang Chen
Zibin Zheng
Liu Xiao
+ PDF Chat Adversarial Attack on Large Scale Graph 2021 Jintang Li
Tao Xie
Liang Chen
Fenfang Xie
Xiangnan He
Zibin Zheng
+ Understanding Structural Vulnerability in Graph Convolutional Networks 2021 Liang Chen
Jintang Li
Qibiao Peng
Yang Liu
Zibin Zheng
Carl Yang
+ A Survey of Adversarial Learning on Graphs 2020 Liang Chen
Jintang Li
Jiaying Peng
Tao Xie
Zengxu Cao
Kun Xu
Xiangnan He
Zibin Zheng
+ Adversarial Attack on Large Scale Graph 2020 Jintang Li
Tao Xie
Liang Chen
Fenfang Xie
Xiangnan He
Zibin Zheng
+ Harmonic maps of finite energy for Finsler manifolds 2018 Jintang Li
Yiling Wang
+ PDF Chat Monotonicity formulae and vanishing theorems 2016 Jintang Li
+ PDF Chat A classification theorem for hypersurfaces of Minkowski space 2015 Jintang Li
+ The rigidity theorem for harmonic maps from Berwald manifolds 2015 Jintang Li
Zhang Jian-feng
+ The nonexistence theorems for F-harmonic maps and F-Yang–Mills fields 2014 Jintang Li
+ PDF Chat Harmonic maps from bounded symmetric domains to Finsler manifolds 2013 Jintang Li
+ Hypersurfaces of Minkowski space with constant mean curvature 2013 Jintang Li
+ Stable hypersurfaces of Minkowski spaces 2012 Jintang Li
+ Umbilical hypersurfaces of Minkowski spaces 2012 Jintang Li
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+ The special hypersurfaces of Minkowski space 2012 Jintang Li
+ STABLE HARMONIC MAPS BETWEEN FINSLER MANIFOLDS AND SSU MANIFOLDS 2012 Jintang Li
+ The pinching theorem for hypersurfaces of Minkowski spaces 2011 Jintang Li
+ Landsberg hypersurfaces of Minkowski space with constant mean curvature 2011 Jintang Li
+ PDF Chat Stable harmonic maps between Finsler manifolds and Riemannian manifolds with positive Ricci curvature 2010 Jintang Li
+ PDF Chat Bochner's formula for harmonic maps from Finsler manifolds 2008 Jintang Li
+ PDF Chat Submanifolds with constant scalar curvature 2004 Jintang Li
+ PDF Chat On stable currents in positively pinched curved hypersurfaces 2003 Jintang Li
+ р-Harmonic Maps and a Pinching Theorem forPositively Curved Hypersurfaces 2002 Jintang Li
+ Low Dimensional Isotropic Submanifolds 2002 Jintang Li
+ P-harmonic Maps for Submanifolds with Positive Ricci Curvature 2001 Jintang Li
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Semi-Supervised Classification with Graph Convolutional Networks 2016 Thomas Kipf
Max Welling
7
+ SOME RESULTS ON HARMONIC MAPS FOR FINSLER MANIFOLDS 2005 Qun He
Yibing Shen
5
+ 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
4
+ Graph Attention Networks 2017 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
PĂ­etro LiĂł
Yoshua Bengio
4
+ Adversarial Attacks on Graph Neural Networks via Meta Learning 2019 Daniel ZĂŒgner
Stephan GĂŒnnemann
4
+ A Survey of Adversarial Learning on Graphs 2020 Liang Chen
Jintang Li
Jiaying Peng
Tao Xie
Zengxu Cao
Kun Xu
Xiangnan He
Zibin Zheng
4
+ PDF Chat Submanifolds with parallel mean curvature vector in spheres 1994 Walcy Santos
4
+ Graph Attention Networks 2018 Petar Veličković
Guillem Cucurull
Arantxa Casanova
Adriana Romero
PĂ­etro LiĂł
Yoshua Bengio
4
+ On Finsler geometry of submanifolds 1998 Zhongmin Shen
4
+ Adversarial Attack on Graph Structured Data 2018 Hanjun Dai
Hui Li
Tian Tian
Xin Huang
Lin Wang
Jun Zhu
Le Song
4
+ 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
3
+ PDF Chat A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models 2020 Heng Chang
Yu Rong
Tingyang Xu
Wenbing Huang
Honglei Zhang
Peng Cui
Wenwu Zhu
Junzhou Huang
3
+ Some conditions ensuring the vanishing of harmonic differential forms with applications to harmonic maps and Yang-Mills theory 1982 H. C. J. Sealey
3
+ Adversarial Examples for Graph Data: Deep Insights into Attack and Defense 2019 Huijun Wu
Chen Wang
Yuriy Tyshetskiy
Andrew Docherty
Kai LĂŒ
Liming Zhu
3
+ Transferring Robustness for Graph Neural Network Against Poisoning Attacks 2020 Xianfeng Tang
Yandong Li
Yiwei Sun
Huaxiu Yao
Prasenjit Mitra
Suhang Wang
3
+ PDF Chat Function Theory on Manifolds Which Possess a Pole 1979 R. E. Greene
H. Wu
3
+ Simplifying Graph Convolutional Networks 2019 Felix Wu
Tianyi Zhang
Amauri H. Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
3
+ Inductive Representation Learning on Large Graphs 2017 William L. Hamilton
Rex Ying
Jure Leskovec
3
+ PDF Chat Graph embedding techniques, applications, and performance: A survey 2018 Palash Goyal
Emilio Ferrara
3
+ The stability of harmonic maps on Finsler manifolds 2008 Yibing Shen
Shihshu Walter Wei
3
+ PDF Chat DeepWalk 2014 Bryan Perozzi
Rami Al‐Rfou
Steven Skiena
3
+ 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
2
+ PDF Chat Improved Code Summarization via a Graph Neural Network 2020 Alexander LeClair
Sakib Haque
Lingfei Wu
Collin McMillan
2
+ PDF Chat Hiding individuals and communities in a social network 2018 Marcin Waniek
Tomasz Michalak
Michael Wooldridge
Talal Rahwan
2
+ Inductive Representation Learning on Temporal Graphs 2020 Da Xu
Chuanwei Ruan
Evren Körpeoğlu
Sushant Kumar
Kannan Achan
2
+ PDF Chat EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs 2020 Aldo Pareja
Giacomo Domeniconi
Jie Chen
Tengfei Ma
Toyotaro Suzumura
Hiroki Kanezashi
Tim Kaler
Tao B. Schardl
Charles E. Leiserson
2
+ Some rigidity theorems of harmonic maps between Finsler manifolds 2014 Qun He
Daxiao Zheng
2
+ Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks 2019 Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
Xiang Song
Jinjing Zhou
Chao Ma
Lingfan Yu
Yu Gai
2
+ PDF Chat Emergence of Scaling in Random Networks 1999 Albert‐László Barabási
RĂ©ka Albert
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 Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection 2020 Seijoon Kim
Seongsik Park
Byunggook Na
Sungroh Yoon
2
+ PDF Chat Scalable attack on graph data by injecting vicious nodes 2020 Jihong Wang
Minnan Luo
Fnu Suya
Jundong Li
Zijiang Yang
Qinghua Zheng
2
+ PDF Chat Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks 2019 Srijan Kumar
Xikun Zhang
Jure Leskovec
2
+ Towards Deep Learning Models Resistant to Adversarial Attacks. 2018 Aleksander Mądry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
2
+ STABLE HARMONIC MAPS BETWEEN FINSLER MANIFOLDS AND SSU MANIFOLDS 2012 Jintang Li
2
+ PDF Chat Median Activation Functions for Graph Neural Networks 2019 Luana Ruiz
Fernando Gama
Antonio G. Marqués
Alejandro Ribeiro
2
+ Harmonic Mappings of Riemannian Manifolds 1964 James Eells
J. H. Sampson
2
+ PDF Chat Breakdown Properties of Location Estimates Based on Halfspace Depth and Projected Outlyingness 1992 David L. Donoho
Miriam Gasko
2
+ Adversarial Attacks on Node Embeddings via Graph Poisoning 2018 Aleksandar Bojchevski
Stephan GĂŒnnemann
2
+ PDF Chat Towards Evaluating the Robustness of Neural Networks 2017 Nicholas Carlini
David Wagner
2
+ How Powerful are Graph Neural Networks? 2018 Keyulu Xu
Weihua Hu
Jure Leskovec
Stefanie Jegelka
2
+ PDF Chat Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning 2018 Matthew Jagielski
Alina Oprea
Battista Biggio
Chang Liu
Cristina Nita-Rotaru
Bo Li
2
+ PDF Chat Graph Neural Networks for Social Recommendation 2019 Wenqi Fan
Yao Ma
Qing Li
Yuan He
Eric Zhao
Jiliang Tang
Dawei Yin
2
+ The pinching theorem for hypersurfaces of Minkowski spaces 2011 Jintang Li
2
+ Edge direction and the structure of networks 2010 Jacob G. Foster
David V. Foster
Peter Grassberger
Maya Paczuski
2
+ PDF Chat The structure of hypersurfaces with some curvature conditions 1997 Ju Seon Kim
2
+ PDF Chat Adversarial Attacks on Neural Networks for Graph Data 2018 Daniel ZĂŒgner
Amir Akbarnejad
Stephan GĂŒnnemann
2
+ Two samples test for discrete power-law distributions 2015 Alessandro Bessi
2
+ PDF Chat Speech recognition with deep recurrent neural networks 2013 Alex Graves
Abdelrahman Mohamed
Geoffrey E. Hinton
2
+ PDF Chat Mixing patterns in networks 2003 M. E. J. Newman
2