Yu Wang

CoRR, February, 2026

Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Knowledge Homophily in Large Language Models.

[BibT_eX]

[DOI]

Utkarsh Sahu

Zhisheng Qi

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs).

[BibT_eX]

[DOI]

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Rule Mining and Learning for Structured Knowledge Retrieval.

[BibT_eX]

[DOI]

Yongjia Lei

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

SaVe-TAG: LLM-based Interpolation for Long-Tailed Text-Attributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Building Transparency in Deep Learning-Powered Network Traffic Classification: A Traffic-Explainer Framework.

[BibT_eX]

[DOI]

Riya Ponraj

Ramakrishnan Durairajan

Mahantesh M. Halappanavar

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

A Survey on LLM-based Conversational User Simulation.

[BibT_eX]

[DOI]

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Iterative Critique-Refine Framework for Enhancing LLM Personalization.

[BibT_eX]

[DOI]

CoRR, October, 2025

Scaffold-Aware Generative Augmentation and Reranking for Enhanced Virtual Screening.

[BibT_eX]

[DOI]

CoRR, October, 2025

Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG.

[BibT_eX]

[DOI]

CoRR, September, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

[BibT_eX]

[DOI]

CoRR, July, 2025

A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models.

[BibT_eX]

[DOI]

Yao Ma

CoRR, May, 2025

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations.

[BibT_eX]

[DOI]

CoRR, May, 2025

Amplifying Your Social Media Presence: Personalized Influential Content Generation with LLMs.

[BibT_eX]

[DOI]

CoRR, May, 2025

SimAug: Enhancing Recommendation with Pretrained Language Models for Dense and Balanced Data Augmentation.

[BibT_eX]

[DOI]

CoRR, May, 2025

Fairness and Diversity in Recommender Systems: A Survey.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., February, 2025

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.

[BibT_eX]

[DOI]

CoRR, February, 2025

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, February, 2025

Retrieval-Augmented Generation with Graphs (GraphRAG).

[BibT_eX]

[DOI]

Sri Harsha Vardhan Prasad Jella

CoRR, January, 2025

Edges Matter: An Analysis of Graph Time-Series Representations for Temporal Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2025

Personalization of Large Language Models: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2025

Edge Classification on Graphs: New Directions in Topological Imbalance.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

A Survey on Small Language Models.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

Forecasting Time Series with LLMs via Patch-Based Prompting and Decomposition.

[BibT_eX]

[DOI]

Mayank Bumb

Anshul Vemulapalli

Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025

Personalized Graph-Based Retrieval for Large Language Models.

[BibT_eX]

[DOI]

Steven Au

Cameron J. Dimacali

Ojasmitha Pedirappagari

Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, 2025

Demystifying the Power of Large Language Models in Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

BTS: A Comprehensive Benchmark for Tie Strength Prediction.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Machine Learning on Graphs in the Era of Generative Artificial Intelligence.

[BibT_eX]

[DOI]

Mahantesh M. Halappanavar

Jiliang Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Large-scale Training Paradigm for Graph Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent.

[BibT_eX]

[DOI]

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

Empowering GraphRAG with Knowledge Filtering and Integration.

[BibT_eX]

[DOI]

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

From Selection to Generation: A Survey of LLM-based Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

GUI Agents: A Survey.

[BibT_eX]

[DOI]

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

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.

[BibT_eX]

[DOI]

Jiliang Tang

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

Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective.

[BibT_eX]

[DOI]

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

2024

A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Fairness-Aware Graph Neural Networks: A Survey.

[BibT_eX]

[DOI]

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

GUI Agents: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Multimodal Large Language Models: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

DynaSaur: Large Language Agents Beyond Predefined Actions.

[BibT_eX]

[DOI]

CoRR, 2024

GRS-QA - Graph Reasoning-Structured Question Answering Dataset.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey of Small Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Analysis of Social Tie Strength: Definitions, Prediction Methods, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Large Generative Graph Models.

[BibT_eX]

[DOI]

CoRR, 2024

Augmenting Textual Generation via Topology Aware Retrieval.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Graph-based Session Recommendation with Adaptive Propagation.

[BibT_eX]

[DOI]

CoRR, 2024

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Knowledge Graph-based Session Recommendation with Session-Adaptive Propagation.

[BibT_eX]

[DOI]

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

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Topology-aware Retrieval Augmentation for Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Data Quality-aware Graph Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Knowledge Graph Prompting for Multi-Document Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Collaboration-Aware Graph Convolutional Network for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Fairness and Explainability: Bridging the Gap towards Fair Model Explanations.

[BibT_eX]

[DOI]

Yuying Zhao

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

Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery.

[BibT_eX]

[DOI]

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

2022

Generating Synthetic Systems of Interdependent Critical Infrastructure Networks.

[BibT_eX]

[DOI]

Jin-Zhu Yu

Hiba Baroud

IEEE Syst. J., 2022

A Bayesian Approach to Reconstructing Interdependent Infrastructure Networks from Cascading Failures.

[BibT_eX]

[DOI]

Jin-Zhu Yu

Hiba Baroud

CoRR, 2022

Collaboration-Aware Graph Convolutional Networks for Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Fair Graph Representation Learning with Imbalanced and Biased Data.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 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

ChemicalX: A Deep Learning Library for Drug Pair Scoring.

[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

Degree-Related Bias in Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Imbalanced Graph Classification via Graph-of-Graph Neural Networks.

[BibT_eX]

[DOI]

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

2021

Crowd Density Estimation Using Fusion of Multi-Layer Features.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification.

[BibT_eX]

[DOI]

Charu Aggarwal

CoRR, 2021

Tree Decomposed Graph Neural Network.

[BibT_eX]

[DOI]