Publications
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Adaptive Pairwise Encodings for Link Prediction [pdf]
Harry Shomer, Yao Ma, Haitao Ma, Juanhui Li, Bo Wu, Jiliang Tang
arXiv 2310.11009, 2023 -
Revisiting Link Prediction: A Data Perspective [pdf]
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
arXiv 2310.00793, 2023 -
Distance-Based Propagation for Efficient Knowledge Graph Reasoning [pdf]
Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 -
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking [pdf]
Harry Shomer*, Juanhui Li* (co-first author), Haitao Ma, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin.
In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023 -
Learning Representations for Hyper-Relational Knowledge Graphs [pdf]
Harry Shomer, Wei Jin, Juanhui Li, Yao Ma, Hui Liu.
In the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) -
A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data [pdf]
Harry Shomer*, Wentao Wang* (co-first author), Yuxuan Wan, Yaxin Li, Jiangtao Huang and Hui Liu
In Proceedings of the 32nd ACM International on Conference on Information and Knowledge Management (CIKM), 2023 -
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? [pdf]
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin.
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023 -
Toward Degree Bias in Embedding-Based Knowledge Graph Completion [pdf]
Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang.
In Proceedings of the ACM Web Conference (WWW), 2023 -
Detecting Harmful Conversational Content towards LGBTQIA+ Individuals [pdf]
Jamell Dacon, Harry Shomer, Shaylynn Crum-Dacon, Jiliang Tang.
NAACL’22: Queer in AI Workshop, 2022