Pan Li
Purdue University
H-index: 28
North America-United States
Top articles of Pan Li
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning | arXiv preprint arXiv:2402.01964 | Yuhong Luo Pan Li | 2024/2/3 |
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction | The 17th ACM International Conference on Web Search and Data Mining | Amit Roy Juan Shu Jia Li Carl Yang Olivier Elshocht | 2024 |
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning | arXiv preprint arXiv:2401.10371 | Eli Chien Haoyu Wang Ziang Chen Pan Li | 2024/1/18 |
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures | The ACM Web Conference | Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava | 2024 |
Towards Poisoning Fair Representations | arXiv preprint arXiv:2309.16487 | Tianci Liu Haoyu Wang Feijie Wu Hengtong Zhang Pan Li | 2023/9/28 |
On the Stability of Expressive Positional Encodings for Graphs | arXiv preprint arXiv:2310.02579 | Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang | 2023/10/4 |
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics | arXiv preprint arXiv:2402.12535 | Siqi Miao Zhiyuan Lu Mia Liu Javier Duarte Pan Li | 2024/2/19 |
Polynomial Width is Sufficient for Set Representation with High-dimensional Features | International Conference on Learning Representations | Peihao Wang Shenghao Yang Shu Li Zhangyang Wang Pan Li | 2024 |
ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation | arXiv preprint arXiv:2310.15938 | Anshul Ahluwalia Rohit Das Payman Behnam Alind Khare Pan Li | 2023/10/24 |
Interpretable Geometric Deep Learning via Learnable Randomness Injection | International Conference on Learning Representations | Siqi Miao Yunan Luo Mia Liu Pan Li | 2023 |
Improving graph neural networks on multi-node tasks with labeling tricks | arXiv preprint arXiv:2304.10074 | Xiyuan Wang Pan Li Muhan Zhang | 2023/4/20 |
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee | arXiv preprint arXiv:2310.13261 | Haoyu Wang Jialin Liu Xiaohan Chen Xinshang Wang Pan Li | 2023/10/20 |
Equivariant Hypergraph Diffusion Neural Operators | arXiv preprint arXiv:2207.06680 | Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li | 2022/7/14 |
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning | Very Large Databases Conferences 2023 | Haoteng Yin Muhan Zhang Jianguo Wang Pan Li | 2023/3/6 |
High Pileup Particle Tracking with Object Condensation | arXiv preprint arXiv:2312.03823 | Kilian Lieret Gage DeZoort Devdoot Chatterjee Jian Park Siqi Miao | 2023/12/6 |
GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts | arXiv preprint arXiv:2310.08677 | Deyu Zou Shikun Liu Siqi Miao Victor Fung Shiyu Chang | 2023/10/12 |
Semi-supervised Graph Neural Networks for Pileup Noise Removal | The European Physical Journal C | Tianchun Li Shikun Liu Yongbin Feng Garyfallia Paspalaki Nhan Tran | 2023 |
Unsupervised Learning for Combinatorial Optimization Needs Meta-Learning | International Conference on Learning Representations | Haoyu Wang Pan Li | 2023/1/8 |
Distance Information Improves Heterogeneous Graph Neural Networks | IEEE Transactions on Knowledge and Data Engineering | Chuan Shi Houye Ji Zhiyuan Lu Ye Tang Pan Li | 2023/8/4 |
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection | Advances in Neural Information Processing Systems | Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Ozgur | 2024/2/13 |
Co-Authors
