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Machine Learning on Knowledge Graphs @ NeurIPS 2020
less than 1 minute read
Published:
Concluding the year with the review of KG-related papers from NeurIPS 2020: Query Embedding, NAS, Meta-Learning, 📦 vs 🔮, big new benchmarks incl. OGB and GraphGYM, and ⚡️ KeOps!
Representation Learning on RDF* and LPG Graphs
less than 1 minute read
Published:
I wrote a new Medium post about our recent EMNLP 2020 paper “Message Passing for Hyper-Relational Knowledge Graphs” where we design graph neural nets for more complex graph structures such as hyper-relational KGs like Wikidata.
Knowledge Graphs in Natural Language Processing @ ACL 2020
less than 1 minute read
Published:
The anniversary post is the series of KG-related papers. It’s been one year since I started publising such digests, and we’re back to the NLP roots and ACL 2020! This time I focus on question answering, KG embeddings, graph-to-text NLG, some ConvAI and OpenIE.
Knowledge Graphs @ ICLR 2020
less than 1 minute read
Published:
Published a review of KG-related papers from the past ICLR 2020! Among other things we’ll review what’s happening in complex QA, KG embeddings and entity matching with graph embeddings.