Pan Li

CoRR, 2024

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Benchmark on Directed Graph Representation Learning in Hardware Designs.

[BibT_eX]

[DOI]

CoRR, 2024

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness.

[BibT_eX]

[DOI]

Eli Chien

CoRR, 2024

Towards Understanding Sensitive and Decisive Patterns in Explainable AI: A Case Study of Model Interpretation in Geometric Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Differentially Private Graph Diffusion with Applications in Personalized PageRanks.

[BibT_eX]

[DOI]

Rongzhe Wei

Eli Chien

CoRR, 2024

What Can We Learn from State Space Models for Machine Learning on Graphs?

[BibT_eX]

[DOI]

Yinan Huang

CoRR, 2024

Stochastic Gradient Langevin Unlearning.

[BibT_eX]

[DOI]

CoRR, 2024

No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning.

[BibT_eX]

[DOI]

Yuhong Luo

CoRR, 2024

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Proceedings of the ACM on Web Conference 2024, 2024

GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Graph As Point Set.

[BibT_eX]

[DOI]

Xiyuan Wang

Muhan Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Pairwise Alignment Improves Graph Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Polynomial Width is Sufficient for Set Representation with High-dimensional Features.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Stability of Expressive Positional Encodings for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Poisoning Fair Representations.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

High Pileup Particle Tracking with Object Condensation.

[BibT_eX]

[DOI]

CoRR, 2023

ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

[BibT_eX]

[DOI]

CoRR, 2023

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

[BibT_eX]

[DOI]

CoRR, 2023

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts.

[BibT_eX]

[DOI]

CoRR, 2023

On the Stability of Expressive Positional Encodings for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Graph Neural Networks on Multi-node Tasks with Labeling Tricks.

[BibT_eX]

[DOI]

Xiyuan Wang

Muhan Zhang

CoRR, 2023

Expressive and Efficient Representation Learning for Ranking Links in Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structural Re-weighting Improves Graph Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Equivariant Hypergraph Diffusion Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Learning for Combinatorial Optimization Needs Meta Learning.

[BibT_eX]

[DOI]

Haoyu Peter Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Interpretable Geometric Deep Learning via Learnable Randomness Injection.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Extensible and Efficient Proxy for Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System.

[BibT_eX]

[DOI]

Sensors, 2022

Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2022

Graph Federated Learning with Hidden Representation Sharing.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Graph Representation Learning using Self-Supervision.

[BibT_eX]

[DOI]

CoRR, 2022

Extensible Proxy for Efficient NAS.

[BibT_eX]

[DOI]

CoRR, 2022

Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism.

[BibT_eX]

[DOI]

Miaoyuan Liu

CoRR, 2022

Neural Predicting Higher-order Patterns in Temporal Networks.

[BibT_eX]

[DOI]

Yunyu Liu

Jianzhu Ma

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neighborhood-Aware Scalable Temporal Network Representation Learning.

[BibT_eX]

[DOI]

Yuhong Luo

Proceedings of the Learning on Graphs Conference, 2022

4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism.

[BibT_eX]

[DOI]

Mia Liu

Proceedings of the International Conference on Machine Learning, 2022

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction.

[BibT_eX]

[DOI]

Mingyue Tang

Carl Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Applications and Techniques for Fast Machine Learning in Science.

[BibT_eX]

[DOI]

Allison McCarn Deiana

Nhan Tran

Joshua Agar

Michaela Blott

Giuseppe Di Guglielmo

Tomás E. Müller-Bravo

Seyedramin Rasoulinezhad

Maria Domenica Galati

Mohammed Attia Mohammed

Subramanian Ramamoorthy

CoRR, 2021

Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Higher-order Pattern (Motif) Prediction in Temporal Networks.

[BibT_eX]

[DOI]

Yunyu Liu

Jianzhu Ma

CoRR, 2021

Principled Hyperedge Prediction with Structural Spectral Features and Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

TEDIC: Neural Modeling of Behavioral Patterns in Dynamic Social Interaction Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

MStream: Fast Anomaly Detection in Multi-Aspect Streams.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Nested Graph Neural Networks.

[BibT_eX]

[DOI]

Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adversarial Graph Augmentation to Improve Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generic Neural Architecture Search via Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Local Hyper-Flow Diffusion.

[BibT_eX]

[DOI]

Kimon Fountoulakis

Shenghao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bipartite Dynamic Representations for Abuse Detection.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Landing Probabilities of Random Walks for Seed-Set Expansion in Hypergraphs.

[BibT_eX]

[DOI]

Eli Chien

Proceedings of the IEEE Information Theory Workshop, 2021

Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Adaptive Universal Generalized PageRank Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Heterogeneous Graph Neural Network with Distance Encoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

MELOPPR: Software/Hardware Co-design for Memory-efficient Low-latency Personalized PageRank.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Motif and Hypergraph Correlation Clustering.

[BibT_eX]

[DOI]

Gregory J. Puleo

IEEE Trans. Inf. Theory, 2020

Quadratic Decomposable Submodular Function Minimization: Theory and Practice.

[BibT_eX]

[DOI]

Niao He

J. Mach. Learn. Res., 2020

Revisit graph neural networks and distance encoding in a practical view.

[BibT_eX]

[DOI]

Haoteng Yin

Yanbang Wang

CoRR, 2020

Revisiting Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

MStream: Fast Streaming Multi-Aspect Group Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Distance Encoding - Design Provably More Powerful Graph Neural Networks for Structural Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Joint Adaptive Feature Smoothing and Topology Extraction via Generalized PageRank GNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning on graphs with high-order relations: spectral methods, optimization and applications

[BibT_eX]

[DOI]

PhD thesis, 2019

Conditional Structure Generation through Graph Variational Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection.

[BibT_eX]

[DOI]

I (Eli) Chien

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

HS<sup>2</sup>: Active learning over hypergraphs with pointwise and pairwise queries.

[BibT_eX]

[DOI]

I (Eli) Chien

Huozhi Zhou

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

HS<sup>2</sup>: Active Learning over Hypergraphs.

[BibT_eX]

[DOI]

I (Eli) Chien

Huozhi Zhou

CoRR, 2018

Revisiting Decomposable Submodular Function Minimization with Incidence Relations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Quadratic Decomposable Submodular Function Minimization.

[BibT_eX]

[DOI]

Niao He

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Inhomogeneous Hypergraph Clustering with Applications.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multiclass MinMax rank aggregation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Motif clustering and overlapping clustering for social network analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Efficient Rank Aggregation via Lehmer Codes.

[BibT_eX]

[DOI]

Arya Mazumdar

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Spectrally Efficient CSI Acquisition for Power Line Communications: A Bayesian Compressive Sensing Perspective.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2016

2015

On recovery of sparse signals with block structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2015

2014

A Feature Selection Method Based on the Sparse Multi-Class SVM for Fingerprinting Localization.

[BibT_eX]

[DOI]