Pan Li

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 92

Top Topics

Graph Representation

Top Venues

Publications

Siqi Miao, Zhiyuan Lu, Mia Liu, Javier M. Duarte, Pan Li
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics. CoRR (2024)
Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. WWW (2024)
Yinan Huang, Siqi Miao, Pan Li
What Can We Learn from State Space Models for Machine Learning on Graphs? CoRR (2024)
Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
On the Stability of Expressive Positional Encodings for Graphs. ICLR (2024)
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Stochastic Gradient Langevin Unlearning. CoRR (2024)
Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang
Distance Information Improves Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. WSDM (2024)
Jiajun Zhu, Siqi Miao, Rex Ying, Pan Li
Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning. CoRR (2024)
Rongzhe Wei, Eli Chien, Pan Li
Differentially Private Graph Diffusion with Applications in Personalized PageRanks. CoRR (2024)
Rongzhe Wei, Eleonora Kreacic, Haoyu Peter Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024)
Xiyuan Wang, Pan Li, Muhan Zhang
Graph as Point Set. CoRR (2024)
Shikun Liu, Deyu Zou, Han Zhao, Pan Li
Pairwise Alignment Improves Graph Domain Adaptation. CoRR (2024)
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
Towards Poisoning Fair Representations. ICLR (2024)
Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR (2024)
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. CoRR (2023)
Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. CoRR (2023)
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. CoRR (2023)
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. Proc. VLDB Endow. 16 (11) (2023)
Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li
On the Stability of Expressive Positional Encodings for Graph Neural Networks. CoRR (2023)
Susheel Suresh, Mayank Shrivastava, Arko Mukherjee, Jennifer Neville, Pan Li
Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs. WWW (2023)
Haoteng Yin, Muhan Zhang, Jianguo Wang, Pan Li
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning. CoRR (2023)
Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen
Extensible and Efficient Proxy for Neural Architecture Search. ICCV (2023)
Eli Chien, Wei-Ning Chen, Chao Pan, Pan Li, Ayfer Özgür, Olgica Milenkovic
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection. NeurIPS (2023)
Xiyuan Wang, Pan Li, Muhan Zhang
Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks. CoRR (2023)
Shuang Wu, Mingxuan Zhang, Yuantong Li, Carl Yang, Pan Li
Graph Federated Learning with Hidden Representation Sharing. CoRR (2022)
Yang Hu, Xiyuan Wang, Zhouchen Lin, Pan Li, Muhan Zhang
Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction. CoRR (2022)
Yanchao Tan, Chengjun Kong, Leisheng Yu, Pan Li, Chaochao Chen, Xiaolin Zheng, Vicki Hertzberg, Carl Yang
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation. KDD (2022)
Hejie Cui, Zijie Lu, Pan Li, Carl Yang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CIKM (2022)
Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma
MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System. Sensors 22 (11) (2022)
Mingyue Tang, Pan Li, Carl Yang
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction. ICLR (2022)
Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. Proc. VLDB Endow. 15 (11) (2022)
Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation. NeurIPS (2022)
Mingyue Tang, Carl Yang, Pan Li
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. CoRR (2022)
Haoteng Yin, Muhan Zhang, Yanbang Wang, Jianguo Wang, Pan Li
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning. CoRR (2022)
Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. CoRR (2022)
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. NeurIPS (2022)
Haorui Wang, Haoteng Yin, Muhan Zhang, Pan Li
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks. ICLR (2022)
Susheel Suresh, Danny Godbout, Arko Mukherjee, Mayank Shrivastava, Jennifer Neville, Pan Li
Federated Graph Representation Learning using Self-Supervision. CoRR (2022)
Rongzhe Wei, Haoteng Yin, Junteng Jia, Austin R. Benson, Pan Li
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective. CoRR (2022)
Yunyu Liu, Jianzhu Ma, Pan Li
Neural Predicting Higher-order Patterns in Temporal Networks. WWW (2022)
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. ICLR (2021)
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks. CoRR (2021)
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning. NeurIPS (2021)
Hejie Cui, Zijie Lu, Pan Li, Carl Yang
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR (2021)
Yanbang Wang, Pan Li, Chongyang Bai, Jure Leskovec
TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks. WWW (2021)
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. WSDM (2021)
Yunyu Liu, Jianzhu Ma, Pan Li
Neural Higher-order Pattern (Motif) Prediction in Temporal Networks. CoRR (2021)
Changlin Wan, Muhan Zhang, Wei Hao, Sha Cao, Pan Li, Chi Zhang
Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks. CoRR (2021)
Susheel Suresh, Pan Li, Cong Hao, Jennifer Neville
Adversarial Graph Augmentation to Improve Graph Contrastive Learning. NeurIPS (2021)
Eli Chien, Pan Li, Olgica Milenkovic
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. ITW (2021)
Muhan Zhang, Pan Li
Nested Graph Neural Networks. CoRR (2021)
Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
Adaptive Universal Generalized PageRank Graph Neural Network. ICLR (2021)
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
MStream: Fast Anomaly Detection in Multi-Aspect Streams. WWW (2021)
Muhan Zhang, Pan Li
Nested Graph Neural Networks. NeurIPS (2021)
Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. WWW (2021)
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec
Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning. CoRR (2020)
Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs. CoRR (2020)
Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin
Revisiting Graph Neural Networks for Link Prediction. CoRR (2020)
Haoteng Yin, Yanbang Wang, Pan Li
Revisit graph neural networks and distance encoding in a practical view. CoRR (2020)
Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi
MStream: Fast Streaming Multi-Aspect Group Anomaly Detection. CoRR (2020)
Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec
Graph Information Bottleneck. NeurIPS (2020)
Pan Li, Gregory J. Puleo, Olgica Milenkovic
Motif and Hypergraph Correlation Clustering. IEEE Trans. Inf. Theory 66 (5) (2020)
Tailin Wu, Hongyu Ren, Pan Li, Jure Leskovec
Graph Information Bottleneck. CoRR (2020)
Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. CoRR (2020)
Pan Li, Niao He, Olgica Milenkovic
Quadratic Decomposable Submodular Function Minimization: Theory and Practice. J. Mach. Learn. Res. 21 (2020)
Yen-Yu Chang, Pan Li, Rok Sosic, M. H. Afifi, Marco Schweighauser, Jure Leskovec
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams. CoRR (2020)
Pan Li, Yanbang Wang, Hongwei Wang, Jure Leskovec
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning. NeurIPS (2020)
Pan Li, I (Eli) Chien, Olgica Milenkovic
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection. NeurIPS (2019)
I (Eli) Chien, Huozhi Zhou, Pan Li
: Active learning over hypergraphs with pointwise and pairwise queries. AISTATS (2019)
Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. CoRR (2019)
Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li
Conditional Structure Generation through Graph Variational Generative Adversarial Nets. NeurIPS (2019)
Pan Li, Zhen Qin, Xuanhui Wang, Donald Metzler
Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. KDD (2019)
Pan Li, Niao He, Olgica Milenkovic
Quadratic Decomposable Submodular Function Minimization: Theory and Practice. CoRR (2019)
Pan Li, I (Eli) Chien, Olgica Milenkovic
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection. CoRR (2019)
Eli Chien, Pan Li, Olgica Milenkovic
Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs. CoRR (2019)
Pan Li, Gregory J. Puleo, Olgica Milenkovic
Motif and Hypergraph Correlation Clustering. CoRR (2018)
Pan Li, Olgica Milenkovic
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. CoRR (2018)
Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. ICDM (2018)
Pan Li, Niao He, Olgica Milenkovic
Quadratic Decomposable Submodular Function Minimization. NeurIPS (2018)
Pan Li, Olgica Milenkovic
Revisiting Decomposable Submodular Function Minimization with Incidence Relations. CoRR (2018)
Pan Li, Olgica Milenkovic
Revisiting Decomposable Submodular Function Minimization with Incidence Relations. NeurIPS (2018)
Pan Li, Olgica Milenkovic
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering. ICML (2018)
I (Eli) Chien, Huozhi Zhou, Pan Li
: Active Learning over Hypergraphs. CoRR (2018)
Pan Li, Niao He, Olgica Milenkovic
Quadratic Decomposable Submodular Function Minimization. CoRR (2018)
Pan Li, Arya Mazumdar, Olgica Milenkovic
Efficient Rank Aggregation via Lehmer Codes. CoRR (2017)
Pan Li, Arya Mazumdar, Olgica Milenkovic
Efficient Rank Aggregation via Lehmer Codes. AISTATS (2017)
Pan Li, Olgica Milenkovic
Multiclass MinMax rank aggregation. ISIT (2017)
Pan Li, Olgica Milenkovic
Inhomogeneous Hypergraph Clustering with Applications. NIPS (2017)
Pan Li, Olgica Milenkovic
Multiclass MinMax Rank Aggregation. CoRR (2017)
Pan Li, Hoang Dau, Gregory J. Puleo, Olgica Milenkovic
Motif clustering and overlapping clustering for social network analysis. INFOCOM (2017)
Pan Li, Olgica Milenkovic
Inhomogeneous Hypergraph Clustering with Applications. CoRR (2017)
Pan Li, Son Hoang Dau, Gregory J. Puleo, Olgica Milenkovic
Motif Clustering and Overlapping Clustering for Social Network Analysis. CoRR (2016)
Pan Li, Wei Dai, Huadong Meng, Xiqin Wang
On recovery of sparse signals with block structures. ISIT (2015)
Pan Li, Huadong Meng, Xiqin Wang
A Feature Selection Method Based on the Sparse Multi-Class SVM for Fingerprinting Localization. VTC Fall (2014)
Chundi Zheng, Gang Li, Pan Li, Xiqin Wang
Hyperparameter-free DOA estimation under power constraints. ICASSP (2013)