5 citations · 6 across the 4 of their papers we have counts for
5 papers
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning
Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
Humans are able to identify and categorize novel compositions of known concepts. The task in Compositional Zero-Shot learning (CZSL) is to learn composition of primitive concepts,…
Variational Embeddings for Community Detection and Node Representation
Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah +1
In this paper, we study how to simultaneously learn two highly correlated tasks of graph analysis, i.e., community detection and node representation learning. We propose an efficie…
Metapath- and Entity-aware Graph Neural Network for Recommendation
Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy +6
In graph neural networks (GNNs), message passing iteratively aggregates nodes' information from their direct neighbors while neglecting the sequential nature of multi-hop node conn…
Compositional Learning of Image-Text Query for Image Retrieval
Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
In this paper, we investigate the problem of retrieving images from a database based on a multi-modal (image-text) query. Specifically, the query text prompts some modification in…
Mend The Learning Approach, Not the Data: Insights for Ranking E-Commerce Products
Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
Improved search quality enhances users' satisfaction, which directly impacts sales growth of an E-Commerce (E-Com) platform. Traditional Learning to Rank (LTR) algorithms require r…