Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition.

[BibT_eX]

[DOI]

Zebin Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Navigating Between Explainability and Extractability in Machine Learning as a Service.

[BibT_eX]

[DOI]

Ojas Nimase

Yue Zhao

Yushun Dong

Proceedings of the IEEE International Conference on Data Mining, 2025

TyphoFormer: Language-Augmented Transformer for Accurate Typhoon Track Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems, 2025

Learning from Diverse Reasoning Paths with Routing and Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

VirtualGCN - Enhancing Graph Collaborative Filtering with Virtual Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2025

Harnessing Large Language Models for Disaster Management: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

BrainMAP: Learning Multiple Activation Pathways in Brain Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning Hierarchical Task Structures for Few-shot Graph Classification.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, April, 2024

Federated Graph Learning with Graphless Clients.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

Political-LLM: Large Language Models in Political Science.

[BibT_eX]

[DOI]

CoRR, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

FredNormer: Frequency Domain Normalization for Non-stationary Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

A Benchmark for Fairness-Aware Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2024

PyGDebias: A Python Library for Debiasing in Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SD-Attack: Targeted Spectral Attacks on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Rethinking Fair Graph Neural Networks from Re-balancing.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Certified Unlearning for Deep Neural Networks.

[BibT_eX]

[DOI]

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

Adversarial Attacks on Fairness of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Knowledge Graph-Enhanced Large Language Models via Path Selection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Fairness in Graph Mining: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., October, 2023

ELEGANT: Certified Defense on the Fairness of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Few-shot Node Classification with Extremely Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?

[BibT_eX]

[DOI]

Yushun Dong

Jundong Li

Tobias Schnabel

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RELIANT: Fair Knowledge Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Fairness in Graph Machine Learning: Recent Advances and Future Prospectives.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Spatial-Temporal Networks for Antibiogram Pattern Prediction.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Interpreting Unfairness in Graph Neural Networks via Training Node Attribution.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications.

[BibT_eX]

[DOI]

SIGKDD Explor., 2022

Fairness in Graph Mining: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Assessing the Causal Impact of COVID-19 Related Policies on Outbreak Dynamics: A Case Study in the US.

[BibT_eX]

[DOI]

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

EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks.

[BibT_eX]

[DOI]

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

Empowering Next POI Recommendation with Multi-Relational Modeling.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Contrastive Attributed Network Anomaly Detection with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage.

[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

GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks.

[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

On Structural Explanation of Bias in Graph Neural Networks.

[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

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Graph Neural Networks with Adaptive Frequency Response Filter.

[BibT_eX]

[DOI]

CoRR, 2021

Individual Fairness for Graph Neural Networks: A Ranking based Approach.

[BibT_eX]

[DOI]

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

AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2019

Learning Route Planning from Experienced Drivers Using Generalized Value Iteration Network.

[BibT_eX]

[DOI]

Proceedings of the Internet of Vehicles. Technologies and Services Toward Smart Cities, 2019

Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model.