Manchanda, Sahil

9 publications

ICLR 2024 Mirage: Model-Agnostic Graph Distillation for Graph Classification Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu

ICML 2023 GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur

LoG 2023 Generative Modeling of Labeled Graphs Under Data Scarcity Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur

AAAI 2023 LIMIP: Lifelong Learning to Solve Mixed Integer Programs Sahil Manchanda, Sayan Ranu

ICML 2023 StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan

ECML-PKDD 2022 On the Generalization of Neural Combinatorial Optimization Heuristics Sahil Manchanda, Sofia Michel, Darko Drakulic, Jean-Marc Andreoli

AAAI 2022 TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu

NeurIPS 2021 NeuroMLR: Robust & Reliable Route Recommendation on Road Networks Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu

NeurIPS 2020 GCOMB: Learning Budget-Constrained Combinatorial Algorithms over Billion-Sized Graphs Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj Singh