9 papers
TaxoBell: Gaussian Box Embeddings for Self-Supervised Taxonomy Expansion
Sahil Mishra, Srinitish Srinivasan, Srikanta Bedathur +1
Taxonomies form the backbone of structured knowledge representation across diverse domains, enabling applications such as e-commerce and semantic search. Yet, manual taxonomy expan…
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde +3
Temporal Graph Neural Networks (TGNNs) aim to capture the evolving structure and timing of interactions in dynamic graphs. Although many models incorporate time through encodings o…
Revisiting the Role of Natural Language Code Comments in Code Translation
Monika Gupta, Ajay Meena, Anamitra Roy Choudhury +2
The advent of large language models (LLMs) has ushered in a new era in automated code translation across programming languages. Since most code-specific LLMs are pretrained on well…
CGLE: Class-label Graph Link Estimator for Link Prediction
Ankit Mazumder, Srikanta Bedathur
Link prediction is a pivotal task in graph mining with wide-ranging applications in social networks, recommendation systems, and knowledge graph completion. However, many leading G…
Efficient Graph Understanding with LLMs via Structured Context Injection
Govind Waghmare, Sumedh BG, Sonia Gupta +1
Large Language Models (LLMs) have shown strong capabilities in solving problems across domains, including graph-related tasks traditionally addressed by symbolic or algorithmic met…
Answering Multimodal Exclusion Queries with Lightweight Sparse Disentangled Representations
Prachi J, Sumit Bhatia, Srikanta Bedathur
Multimodal representations that enable cross-modal retrieval are widely used. However, these often lack interpretability making it difficult to explain the retrieved results. Solut…