Pan Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation	2025	Pan Li Umer Siddique Yongcan Cao
+ PDF Chat	Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors	2024	Junru Zhou Cai Zhou Xiyuan Wang Pan Li Muhan Zhang
+ PDF Chat	Learning Scalable Structural Representations for Link Prediction with Bloom Signatures	2024	T Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava
+	GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction	2024	Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht Jeroen B. J. Smeets Pan Li
+ PDF Chat	Semi-supervised graph neural networks for pileup noise removal	2023	Tianchun Li Shikun Liu Y. Feng G. Paspalaki Nhan Viet Tran Miaoyuan Liu Pan Li
+	SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning	2023	Haoteng Yin Muhan Zhang Jianguo Wang Pan Li
+	Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks	2023	Xiyuan Wang Pan Li Muhan Zhang
+	Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations	2023	Pan Li Yuyan Wang Ed H. Minmin Chen
+	From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited	2023	Zheng Wang Hongming Ding Pan Li Jianhua Li Zhiguo Gong Philip S. Yu
+ PDF Chat	Neural Predicting Higher-order Patterns in Temporal Networks	2022	Yunyu Liu Jianzhu Ma Pan Li
+	Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning	2022	Haoteng Yin Muhan Zhang Yanbang Wang Jianguo Wang Pan Li
+	Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks	2022	Haorui Wang Haoteng Yin Muhan Zhang Pan Li
+	Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction	2022	Mingyue Tang Carl Yang Pan Li
+	Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction	2022	Hu Yang Xiyuan Wang Zhouchen Lin Pan Li Muhan Zhang
+	Equivariant Hypergraph Diffusion Neural Operators	2022	Peihao Wang Shenghao Yang Yunyu Liu Shuicheng Yan Pan Li
+	Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective	2022	Rongzhe Wei Haoteng Yin Junteng Jia Austin R. Benson Pan Li
+	Neighborhood-aware Scalable Temporal Network Representation Learning	2022	Yuhong Luo Pan Li
+ PDF Chat	Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs	2021	Eli Chien Pan Li Olgica Milenković
+	F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams	2021	Yen‐Yu Chang Pan Li Rok Sosič Mansur Afifi Marco Schweighauser Jure Leskovec
+	Local Hyper-Flow Diffusion	2021	Kimon Fountoulakis Pan Li Shenghao Yang
+	Nested Graph Neural Networks	2021	Muhan Zhang Pan Li
+	Adversarial Graph Augmentation to Improve Graph Contrastive Learning	2021	Susheel Suresh Pan Li Cong Hao Jennifer Neville
+	Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning	2020	Pan Li Yanbang Wang Hongwei Wang Jure Leskovec
+	Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs.	2020	Eli Chien Jianhao Peng Pan Li Olgica Milenković
+	Adaptive Universal Generalized PageRank Graph Neural Network	2020	Eli Chien Jianhao Peng Pan Li Olgica Milenković
+	Quadratic Decomposable Submodular Function Minimization: Theory and Practice	2020	Pan Li Niao He Olgica Milenković
+	Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning	2020	Pan Li Yanbang Wang Hongwei Wang Jure Leskovec
+	Graph Information Bottleneck	2020	Tailin Wu Hongyu Ren Pan Li Jure Leskovec
+	F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams	2020	Yen‐Yu Chang Pan Li Rok Sosič Mansur Afifi Marco Schweighauser Jure Leskovec
+	Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning	2020	Meng Liu Nate Veldt Haoyu Song Pan Li David F. Gleich
+	Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning	2020	Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin
+	Adaptive Universal Generalized PageRank Graph Neural Network	2020	Eli Chien Jianhao Peng Pan Li Olgica Milenković
+	Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs	2019	Eli Chien Pan Li Olgica Milenković
+ PDF Chat	Motif and Hypergraph Correlation Clustering	2019	Pan Li Gregory J. Puleo Olgica Milenković
+	Quadratic Decomposable Submodular Function Minimization: Theory and Practice	2019	Pan Li Niao He Olgica Milenković
+	Quadratic Decomposable Submodular Function Minimization: Theory and Practice (Computation and Analysis of PageRank over Hypergraphs)	2019	Pan Li Niao He Olgica Milenković
+	Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights	2019	Carl Yang Yichen Feng Pan Li Yu Shi Jiawei Han
+	Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs	2019	Eli Chien Pan Li Olgica Milenković
+	Quadratic Decomposable Submodular Function Minimization: Theory and Practice (Computation and Analysis of PageRank over Hypergraphs)	2019	Pan Li Niao He Olgica Milenković
+	Quadratic Decomposable Submodular Function Minimization	2018	Pan Li Niao He Olgica Milenković
+	$HS^2$: Active Learning over Hypergraphs	2018	Eli Chien Huozhi Zhou Pan Li
+ PDF Chat	Multiclass MinMax rank aggregation	2017	Pan Li Olgica Milenković
+	Efficient Rank Aggregation via Lehmer Codes	2017	Pan Li Arya Mazumdar Olgica Milenković
+	Efficient Rank Aggregation via Lehmer Codes	2017	Pan Li Arya Mazumdar Olgica Milenković
+	Inhomogeneous Hypergraph Clustering with Applications	2017	Pan Li Olgica Milenković
+	Multiclass MinMax Rank Aggregation	2017	Pan Li Olgica Milenković
+	Local multivariate majorization preserving linear mappings	2016	Jun Zhu Pan Li
+	Delay induced oscillations in a turbidostat with feedback control	2011	Sanling Yuan Pan Li Yongli Song

Common Coauthors

Coauthor	Papers Together
Olgica Milenković	17
Eli Chien	7
Niao He	5
Jure Leskovec	5
Haoteng Yin	5
Muhan Zhang	4
Muhan Zhang	4
Xiyuan Wang	3
Carl Yang	3
Jianhao Peng	3
Yanbang Wang	3
Arya Mazumdar	2
Yunyu Liu	2
Jianguo Wang	2
Rok Sosič	2
Marco Schweighauser	2
Rongzhe Wei	2
Yen‐Yu Chang	2
Mansur Afifi	2
Peihao Wang	1
Shikun Liu	1
Nate Veldt	1
Y. Feng	1
Kimon Fountoulakis	1
Yinglong Xia	1
Cong Hao	1
S.C. Yang	1
Shenghao Yang	1
Juan Shu	1
Jennifer Neville	1
Zhiguo Gong	1
Olivier Elshocht	1
Jianzhu Ma	1
Amit Roy	1
Yu Shi	1
David F. Gleich	1
Garyfallia Paspalaki	1
Hu Yang	1
Hongwei Wang	1
Shuicheng Yan	1
Jianhua Li	1
Jia Li	1
Kai Wang	1
Meng Liu	1
Zheng Wang	1
Hongwei Wang	1
Nhan Viet Tran	1
Yuyan Wang	1
Minmin Chen	1
Long Jin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Higher-order organization of complex networks	2016	Austin R. Benson David F. Gleich Jure Leskovec	11
+	Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection	2019	Li Pan Eli Chien Olgica Milenković	8
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	5
+ PDF Chat	Motif clustering and overlapping clustering for social network analysis	2017	Li Pan Son Hoang Dau Gregory J. Puleo Olgica Milenković	5
+ PDF Chat	The heat kernel as the pagerank of a graph	2007	Fan Chung	5
+	Inhomogeneous Hypergraph Clustering with Applications	2017	Pan Li Olgica Milenković	5
+ PDF Chat	Community detection in graphs	2009	Santo Fortunato	4
+ PDF Chat	Block models and personalized PageRank	2016	Isabel M. Kloumann Johan Ugander Jon Kleinberg	4
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl	4
+	On the equivalence between graph isomorphism testing and function approximation with GNNs	2019	Zhengdao Chen Soledad Villar Lei Chen Joan Bruna	4
+	How Powerful are Graph Neural Networks?	2018	Keyulu Xu Weihua Hu Jure Leskovec Stefanie Jegelka	4
+	GraphSAINT: Graph Sampling Based Inductive Learning Method	2019	Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor K. Prasanna	4
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	4
+	Random Walks on Hypergraphs with Edge-Dependent Vertex Weights	2019	Uthsav Chitra Benjamin J. Raphael	3
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	3
+	Fast Graph Representation Learning with PyTorch Geometric	2019	Matthias Fey Jan Eric Lenssen	3
+	Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering	2018	Pan Li Olgica Milenković	3
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	3
+	Invariant and Equivariant Graph Networks	2018	Haggai Maron Heli Ben-Hamu Nadav Shamir Yaron Lipman	3
+	Consistency of spectral hypergraph partitioning under planted partition model	2017	Debarghya Ghoshdastidar Ambedkar Dukkipati	3
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	3
+	Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach	2018	Chiheon Kim Afonso S. Bandeira Michel X. Goemans	3
+	Minimizing Localized Ratio Cut Objectives in Hypergraphs	2020	Nate Veldt Austin R. Benson Jon Kleinberg	3
+	Simplicial closure and higher-order link prediction	2018	Austin R. Benson Rediet Abebe Michael T. Schaub Ali Jadbabaie Jon Kleinberg	3
+	Diffusion Improves Graph Learning	2019	Johannes Klicpera Stefan Weißenberger Stephan Günnemann	3
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	3
+ PDF Chat	Motif and Hypergraph Correlation Clustering	2019	Pan Li Gregory J. Puleo Olgica Milenković	3
+	On the Universality of Invariant Networks	2019	Haggai Maron Ethan Fetaya Nimrod Segol Yaron Lipman	3
+ PDF Chat	Higher order learning with graphs	2006	Sameer Agarwal Kristin Branson Serge Belongie	3
+ PDF Chat	Spectral Properties of Hypergraph Laplacian and Approximation Algorithms	2018	T.-H. Hubert Chan Anand Louis Zhihao Gavin Tang Chenzi Zhang	3
+	Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model	2014	Debarghya Ghoshdastidar Ambedkar Dukkipati	3
+ PDF Chat	Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks	2019	Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton Jan Eric Lenssen Gaurav Rattan Martin Grohe	3
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	2
+ PDF Chat	Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights	2018	Carl Yang Yichen Feng Li Pan Yu Shi Jiawei Han	2
+	Gated Graph Sequence Neural Networks	2015	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel	2
+	Quadratic Decomposable Submodular Function Minimization	2018	Pan Li Niao He Olgica Milenković	2
+	Random Walks on Graphs: A Survey	2001	László Lovász	2
+	Higher-Order Spectral Clustering under Superimposed Stochastic Block Model	2018	Subhadeep Paul Olgica Milenković Yuguo Chen	2
+	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	2
+	Locality Statistics for Anomaly Detection in Time Series of Graphs	2014	Heng Wang Minh Tang Youngser Park Carey E. Priebe	2
+ PDF Chat	Learning with Submodular Functions: A Convex Optimization Perspective	2013	Francis Bach	2
+	Spearman's Footrule as a Measure of Disarray	1977	Persi Diaconis Ron Graham	2
+	Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach	2019	Minji Yoon Bryan Hooi Kijung Shin Christos Faloutsos	2
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	2
+ PDF Chat	Community Detection and Stochastic Block Models	2018	Emmanuel Abbé	2
+	Link Prediction Based on Graph Neural Networks	2018	Muhan Zhang Yixin Chen	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Beyond streams and graphs	2006	Jimeng Sun Dacheng Tao Christos Faloutsos	2
+ PDF Chat	Hypergraph Spectral Clustering in the Weighted Stochastic Block Model	2018	Kwangjun Ahn Kangwook Lee Changho Suh	2
+	Reversible Markov Chains and Random Walks on Graphs	2014	David Aldous James Allen Fill	2