I’m a fourth year PhD student in Computer Science and Engineering at Michigan State University. I am advised by Dr. Jiliang Tang in the DSE Lab. Before joing MSU I received my B.S. degree in Computer Science at CUNY – Brooklyn College. My work has been published at top conference including NeurIPS, EMNLP, TheWebConf, ACL, and CIKM. In addition, I regularly serve as PC members and reviewers for multiple international conferences and journals in machine learning and data mining, such as ACL, EMNLP, AAAI, WSDM, TKDD, TKDE, TOIS, and TIST. I am also the recepient of the MSU Engineering Distinguished fellowship and the NRT-IMPACTS fellowship.

I am currently on the academic job market for an assistant professor position. Please feel free to reach out with any opportunities!

Research Interests:

• Link Prediction, Knowledge Graph Representation Learning
• Graph Neural Networks, Graph Machine Learning
• Trustworthy AI

Email: shomerha at msu dot edu. Find me on Github, Twitter, Linkedin, and Google Scholar

LoG Conference (2023) Meetup

I’m helping organize a meetup in conjuction with the Learning on Graphs (LoG) conference in the Mid-Northern US. It will take place at the University of Notre Dame in mid-January, 2024 (exact date TBA). More details on how to register to attend or speak can be found here. Please reach out if you have any questions.

News

• [10/2023] New preprint “Adaptive Pairwise Encodings for Link Prediction”
• [10/2023] Our work “Distance-Based Propagation for Efficient Knowledge Graph Reasoning” is accepted by EMNLP’23 (main)
• [10/2023] New preprint “Revisiting Link Prediction: A Data Perspective”
• [09/2023] Our work “Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking” is accepted by NeurIPS’23
• [09/2023] Our work “Learning Representations for Hyper-Relational Knowledge Graphs” is accepted by ASONAM’23
• [08/2023] Our work “A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data” is accepted by CIKM’23
• [08/2023] Invited to serve as a PC member for AAAI’24
• [06/2023] New preprint “Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking”
• [05/2023] Our work “Are MPNNs Really Helpful for Knowledge Graph Completion?” is accepted by ACL’23
• [01/2023] Our work “Toward Degree Bias in Embedding-Based Knowledge Graph Completion” is accepted by WWW’23
• [01/2023] Invited to serve as a PC member for ACL’23
• [09/2022] Invited to serve as a PC member for MLoG@ICDM’22
• [08/2022] New preprint “Learning Representations for Hyper-Relational Knowledge Graphs”
• [06/2022] Our work “Detecting Harmful Conversational Content towards LGBTQIA+ Individuals” is accepted by the Queer in AI Workshop @ NAACL’22
• [05/2022] New preprint “Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?”
• [01/2022] Invited to serve as a PC member for MLoG@WSDM’22
• [10/2021] Invited to serve as a PC member for WSDM’22
• [04/2021] Awarded the NRT-Impacts Fellowship
• [08/2020] Awarded the MSU Engineering Distinguished Fellowship