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Mirza Mohtashim Alam

2 accepted papers

2023

Knowledge Graph Embeddings using Neural Ito Process: From Multiple Walks to Stochastic Trajectories

ACL 2023findings

Knowledge graphs mostly exhibit a mixture of branching relations, e.g., hasFriend, and complex structures, e.g., hierarchy and loop. Most knowledge graph embeddings have problems expressing them, because they model a specific relation r from a head h to tails by starting at the node embedding of h a…

2021

Knowledge Graph Representation Learning using Ordinary Differential Equations

EMNLP 2021main

Knowledge Graph Embeddings (KGEs) have shown promising performance on link prediction tasks by mapping the entities and relations from a knowledge graph into a geometric space. The capability of KGEs in preserving graph characteristics including structural aspects and semantics, highly depends on th…