4 citations · 9 across the 16 of their papers we have counts for
4 papers · 1 filter
Bonsai: Gradient-free Graph Condensation for Node Classification
Mridul Gupta, Samyak Jain, Vansh Ramani +2
Graph condensation has emerged as a promising avenue to enable scalable training of GNNs by compressing the training dataset while preserving essential graph characteristics. Our s…
TAGMol: Target-Aware Gradient-guided Molecule Generation
Vineeth Dorna, D. Subhalingam, Keshav Kolluru +5
3D generative models have shown significant promise in structure-based drug design (SBDD), particularly in discovering ligands tailored to specific target binding sites. Existing a…
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks
Anuj Kumar Sirohi, Anjali Gupta, Sandeep Kumar +2
Graph Neural Networks (GNNs) have demonstrated impressive performance across various tasks, leading to their increased adoption in high-stakes decision-making systems. However, con…
EUGENE: Explainable Structure-aware Graph Edit Distance Estimation with Generalized Edit Costs
Aditya Bommakanti, Harshith Reddy Vonteri, Sayan Ranu +1
The need to identify graphs with small structural distances from a query arises in domains such as biology, chemistry, recommender systems, and social network analysis. Among sever…