Harry Shomer

According to our database, Harry Shomer authored at least 34 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Are Expressive Encoders Necessary for Discrete Graph Generation?

Jay Revolinsky, Harry Shomer, Jiliang Tang

CoRR, March, 2026

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

Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang

Proceedings of the ACM Web Conference 2026, 2026

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

Zhisheng Qi, Yongjia Lei, Haoyu Han, Harry Shomer, Kaize Ding, Yu Zhang, Ryan A. Rossi, Hui Liu, Yu Wang

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

2025

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

Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang

CoRR, September, 2025

Automated Label Placement on Maps via Large Language Models.

Harry Shomer, Jiejun Xu

CoRR, July, 2025

Subgraph Generation for Generalizing on Out-of-Distribution Links.

Jay Revolinsky, Harry Shomer, Jiliang Tang

CoRR, July, 2025

Higher-order Structure Boosts Link Prediction on Temporal Graphs.

Jingzhe Liu, Zhigang Hua, Yan Xie, Bingheng Li, Harry Shomer, Yu Song, Kaveh Hassani, Jiliang Tang

CoRR, May, 2025

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

Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang

CoRR, February, 2025

Retrieval-Augmented Generation with Graphs (GraphRAG).

Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang

CoRR, January, 2025

Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion.

Harry Shomer, Jay Revolinsky, Jiliang Tang

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

Towards Understanding Link Predictor Generalizability Under Distribution Shifts.

Jay Revolinsky, Harry Shomer, Jiliang Tang

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.

Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang

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

A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation.

Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu

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

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Hui Liu

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

Empowering GraphRAG with Knowledge Filtering and Integration.

Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang

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

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.

Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang

Proceedings of the 18th International Conference on Educational Data Mining, 2025

2024

A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.

Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Hui Liu, Yasemin Copur-Gencturk, Jiliang Tang

CoRR, 2024

Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs.

Jay Revolinsky, Harry Shomer, Jiliang Tang

CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.

Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang

CoRR, 2024

Mixture of Link Predictors.

Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang

CoRR, 2024

Mixture of Link Predictors on Graphs.

Li Ma, Haoyu Han, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang

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

Sub-Graph Based Diffusion Model for Link Prediction.

Hang Li, Wei Jin, Geri Skenderi, Harry Shomer, Wenzhuo Tang, Wenqi Fan, Jiliang Tang

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

LPFormer: An Adaptive Graph Transformer for Link Prediction.

Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang

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

Revisiting Link Prediction: a data perspective.

Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Adaptive Pairwise Encodings for Link Prediction.

Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang

CoRR, 2023

Toward Degree Bias in Embedding-Based Knowledge Graph Completion.

Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang

Proceedings of the ACM Web Conference 2023, 2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking.

Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

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

Distance-Based Propagation for Efficient Knowledge Graph Reasoning.

Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data.

Wentao Wang, Harry Shomer, Yuxuan Wan, Yaxin Li, Jiangtao Huang, Hui Liu

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

Learning Representations for Hyper-Relational Knowledge Graphs.

Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning Representations for Hyper-Relational Knowledge Graphs.

Harry Shomer, Wei Jin, Juan-Hui Li, Yao Ma, Jiliang Tang

CoRR, 2022

Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals.

Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang

CoRR, 2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

CoRR, 2022