4 citations · 5 across the 6 of their papers we have counts for
7 papers
Position: Avoid Overstretching LLMs for every Enterprise Task
Kuldeep Singh, Anson Bastos, Isaiah Onando Mulang'
Enterprise workloads are dominated by deterministic, structured, and knowledge-dependent tasks operating under strict cost, latency, and reliability constraints. While these are of…
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri +2
We present the Evolving Graph Fourier Transform (EFT), the first invertible spectral transform that captures evolving representations on temporal graphs. We motivate our work by th…
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri +3
In this paper we present a novel method, (), for faster evaluation of Knowledge Graph (KG) completion approaches. Current ranking-bas…
Learnable Spectral Wavelets on Dynamic Graphs to Capture Global Interactions
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh +2
Learning on evolving(dynamic) graphs has caught the attention of researchers as static methods exhibit limited performance in this setting. The existing methods for dynamic graphs…
How Expressive are Transformers in Spectral Domain for Graphs?
Anson Bastos, Abhishek Nadgeri, Kuldeep Singh +3
The recent works proposing transformer-based models for graphs have proven the inadequacy of Vanilla Transformer for graph representation learning. To understand this inadequacy, t…
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
Anson Bastos, Kuldeep Singh, Abhishek Nadgeri +3
Recently, several Knowledge Graph Embedding (KGE) approaches have been devised to represent entities and relations in dense vector space and employed in downstream tasks such as li…
VOGUE: Answer Verbalization through Multi-Task Learning
Endri Kacupaj, Shyamnath Premnadh, Kuldeep Singh +2
In recent years, there have been significant developments in Question Answering over Knowledge Graphs (KGQA). Despite all the notable advancements, current KGQA systems only focus…