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Hello, My name is Yihong Chen, which in Chinese is ιθΊθΉ, pronunced as CHEN YEE-hawng. I am now a joint PhD student between Facebook AI Research and UCL NLP, supervised by Sebastian Riedel and Pontus Stenetorp. My current research interest centers around knowledge graphs and logical reasonings over graphs. Feel free to contact me if you share similar interest! I am also happy to collaborate on topics related to embedding learning, GNNs and transformers.
β‘ News
Sep 2022, I will be presenting ReFactorGNNs at ELLIS Doctoral Symposium 2022. Come to our poster on Thursday 22/09 for a quick chat if you are also here and interested in Factorisation-based Models, Message-Passing, and Graph Neural Networks!
Sep 2022, REFACTOR GNNS: Revisiting Factorisation-based Models from a Message-Passing Perspective to appear in NeurIPS 2022! If you are interested in why FMs can be some special GNNs, check out the full paper here
Oct 2021, check out our AKBC 2021 paper π° Relation Prediction as A Self-Supervised Learning Objective. Use relation prediction as an auxiliary objective and improve your knowledge graph completion models by up to 9.9% with only 3-10 extra lines of code!
πΈοΈ Research as Knowledge Graph Completion
This website is meant to be a small knowledge graph about my research. Start your exploring from Project, Publication, About Me and Contact or simply click Show Graph Visualisation on the right top!
π€π§ π€ The constant happiness is curiosity π ππͺ