4 papers
Factual and Edit-Sensitive Graph-to-Sequence Generation via Graph-Aware Adaptive Noising
Aditya Hemant Shahane, Anuj Kumar Sirohi, Tanmoy Chakraborty +2
Fine-tuned autoregressive models for graph-to-sequence generation (G2S) often struggle with factual grounding and edit sensitivity. To tackle these issues, we propose a non-autoreg…
BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning
Aditya Hemant Shahane, Anuj Kumar Sirohi, Devansh Arora +3
Bridging molecular structures and natural language is essential for controllable design. Autoregressive models struggle with long-range dependencies, while standard diffusion proce…
Enhancing Robustness of Graph Neural Networks through p-Laplacian
Anuj Kumar Sirohi, Subhanu Halder, Kabir Kumar +1
With the increase of data in day-to-day life, businesses and different stakeholders need to analyze the data for better predictions. Traditionally, relational data has been a sourc…
Enhancing Robustness of Graph Neural Networks through p-Laplacian
Anuj Kumar Sirohi, Subhanu Halder, Kabir Kumar +1
With the increase of data in day-to-day life, businesses and different stakeholders need to analyze the data for better predictions. Traditionally, relational data has been a sourc…