Sahil Manchanda

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 26

Top Topics

Graph Partitioning

Lifelong Learning

Top Venues

Publications

Sahil Manchanda, Dana Kianfar, Markus Peschl, Romain Lepert, Michaël Defferrard
NeuroSteiner: A Graph Transformer for Wirelength Estimation. CoRR (2024)
Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
NeuroCut: A Neural Approach for Robust Graph Partitioning. KDD (2024)
Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
Mirage: Model-agnostic Graph Distillation for Graph Classification. ICLR (2024)
Mridul Gupta, Sahil Manchanda, Hariprasad Kodamana, Sayan Ranu
Mirage: Model-Agnostic Graph Distillation for Graph Classification. CoRR (2023)
Sahil Manchanda, Sayan Ranu
LIMIP: Lifelong Learning to Solve Mixed Integer Programs. AAAI (2023)
Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta Bedathur
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. CoRR (2023)
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. ICML (2023)
Rishi Shah, Krishnanshu Jain, Sahil Manchanda, Sourav Medya, Sayan Ranu
NeuroCUT: A Neural Approach for Robust Graph Partitioning. CoRR (2023)
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta Bedathur
GSHOT: Few-shot Generative Modeling of Labeled Graphs. CoRR (2023)
Sahil Manchanda, Shubham Gupta, Sayan Ranu, Srikanta J. Bedathur
Generative Modeling of Labeled Graphs Under Data Scarcity. LoG (2023)
Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N. M. Anoop Krishnan
StriderNET: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes. CoRR (2023)
Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets. ICML (2023)
Sahil Manchanda, Sofia Michel, Darko Drakulic, Jean-Marc Andreoli
On the Generalization of Neural Combinatorial Optimization Heuristics. CoRR (2022)
Sahil Manchanda, Saurabh Bhagwat
Optum's Submission to WMT22 Biomedical Translation Tasks. WMT (2022)
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. CoRR (2022)
Sahil Manchanda, Sayan Ranu
Lifelong Learning for Neural powered Mixed Integer Programming. CoRR (2022)
Sahil Manchanda, Sofia Michel, Darko Drakulic, Jean-Marc Andreoli
On the Generalization of Neural Combinatorial Optimization Heuristics. ECML/PKDD (5) (2022)
Shubham Gupta, Sahil Manchanda, Srikanta Bedathur, Sayan Ranu
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs. AAAI (2022)
Jayant Jain, Vrittika Bagadia, Sahil Manchanda, Sayan Ranu
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks. NeurIPS (2021)
Ravi Kondadadi, Sahil Manchanda, Jason Ngo, Ronan McCormack
Optum at MEDIQA 2021: Abstractive Summarization of Radiology Reports using simple BART Finetuning. BioNLP@NAACL-HLT (2021)
Sahil Manchanda, Arun Rajkumar, Simarjot Kaur, Narayanan Unny
SUPAID: A Rule mining based method for automatic rollout decision aid for supervisors in fleet management systems. CoRR (2020)
Sahil Manchanda, Galina Grunin
Domain Informed Neural Machine Translation: Developing Translation Services for Healthcare Enterprise. EAMT (2020)
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs. NeurIPS (2020)
Sahil Manchanda, Akash Mittal, Anuj Dhawan, Sourav Medya, Sayan Ranu, Ambuj K. Singh
Learning Heuristics over Large Graphs via Deep Reinforcement Learning. CoRR (2019)
Sahil Manchanda, Ashish Anand
Representation Learning of Drug and Disease Terms for Drug Repositioning. CYBCONF (2017)
Sahil Manchanda, Ashish Anand
Representation learning of drug and disease terms for drug repositioning. CoRR (2017)