31 citations · 31 across the 5 of their papers we have counts for
5 papers
Leveraging Graph Embeddings for Opinion Leader Detection
Yunming Hui, Luuk Buijsman, Mel Chekol +1
Nowadays, social media plays an important role in many fields, such as the promotion of measures against major infectious diseases, merchandising, etc. In social media, some people…
MGTCOM: Community Detection in Multimodal Graphs
E. Dmitriev, M. W. Chekol, S. Wang
Community detection is the task of discovering groups of nodes sharing similar patterns within a network. With recent advancements in deep learning, methods utilizing graph represe…
Leveraging Static Models for Link Prediction in Temporal Knowledge Graphs
Wessel Radstok, Mel Chekol
The inclusion of temporal scopes of facts in knowledge graph embedding (KGE) presents significant opportunities for improving the resulting embeddings, and consequently for increas…
Reinforced Anytime Bottom Up Rule Learning for Knowledge Graph Completion
Christian Meilicke, Melisachew Wudage Chekol, Manuel Fink +1
Most of todays work on knowledge graph completion is concerned with sub-symbolic approaches that focus on the concept of embedding a given graph in a low dimensional vector space.…
Towards Log-Linear Logics with Concrete Domains
Melisachew Wudage Chekol, Jakob Huber, Heiner Stuckenschmidt
We present (M denotes Markov logic networks) an extension of the log-linear description logics -LL with concrete domains, nominals, and inst…