Invited Talk @ AI Journey 2021
Published:
Had a pleasure presenting a new research talk Beyond Shallow Embeddings of Knowledge Graphs at AI Journey 2021 - the biggest Russian-based venue for AI research. Slides, recording (RU).
less than 1 minute read
Published:
Had a pleasure presenting a new research talk Beyond Shallow Embeddings of Knowledge Graphs at AI Journey 2021 - the biggest Russian-based venue for AI research. Slides, recording (RU).
Published: | less than 1 minute read
Our team got two papers accepted at the upcoming NeurIPS’23 in New Orleans!
Published: | less than 1 minute read
I was lucky to attend ICML’23 in Honolulu in person and see many friends and Graph ML folks. Check my report on latest and greatest graph learning research in the new blog post together with some stunning photos from Hawaii!
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A new paper Neural graph reasoning: Complex logical query answering meets graph databases and an accompanying Medium post where we introduce the concept of Neural Graph Databases (NGDB) and a whole new categorization of complex logical query answering tasks. NGDBs answer complex queries right in the latent space and are able to reason over missing links (“what’s missing?”) in addition to standard DB-like retrieval (“what’s there”?).
Published: | less than 1 minute read
A new Medium post by Andy Huang, Emanuele Rossi, Michael Galkin, and Kellin Pelrine on the recent progress in temporal Graph ML! Featuring theoretical advancements in understanding expressive power of temporal GNNs, discussing evaluation protocols and trustworthiness concerns, looking at temporal KGs, disease modeling, and anomaly detection, as well as pointing to the software libraries and new datasets!