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 a PC member and reviewer 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 on January 14th, 2024 at the University of Notre Dame. 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