4 citations · 5 across the 2 of their papers we have counts for
3 papers
Temporal Knowledge Graph Completion using Box Embeddings
Johannes Messner, Ralph Abboud, İsmail İlkan Ceylan
Knowledge graph completion is the task of inferring missing facts based on existing data in a knowledge graph. Temporal knowledge graph completion (TKGC) is an extension of this ta…
Node Classification Meets Link Prediction on Knowledge Graphs
Ralph Abboud, İsmail İlkan Ceylan
Node classification and link prediction are widely studied in graph representation learning. While both transductive node classification and link prediction operate over a single i…
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud, İsmail İlkan Ceylan, Thomas Lukasiewicz +1
Knowledge base completion (KBC) aims to automatically infer missing facts by exploiting information already present in a knowledge base (KB). A promising approach for KBC is to emb…