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Sayan Ranu

22 papers · 2020–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (36) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Keyword Champion (4) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (13) πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (102)

Venues

NeurIPS (8) ICLR (5) AAAI (4) ICML (3) IJCAI (2)

Top co-authors

Sahil Manchanda (7) N M Anoop Krishnan (5) Sourav Medya (5) Samidha Verma (3) Suresh Bishnoi (3) Ravinder Bhattoo (3) Jayadeva Jayadeva (2) Ambuj Singh (2) Shubham Gupta (2) Rahul Yadav (2)

Research topics

Machine Learning (18) Deep Learning (13) Architectures (13) Artificial Intelligence (10) Core AI (10) Core Methods (8) Learning Types Β· Machine Learning (6) Optimization & Theory (5) Application Areas (4) Mathematics & Optimization (3) Learning Types Β· Deep Learning (2) Models (2) Optimization (2) Computer Science (1) Reinforcement Learning (1)

Keywords

graph neural network (13) inductive learning (4) message passing (3) generative model (2) node classification (2) knowledge distillation (2) graph convolutional network (2) combinatorial optimization (2) inductive bia (2) gig economy (2) zero-shot generalization (2) graph classification (1) branch and bound (1) sensor networks (1) graph generation (1) similarity search (1) reinforcement learning (1) trajectory prediction (1) resource allocation (1) metric learning (1)

Papers

Bonsai: Gradient-free Graph Condensation for Node Classification ICLR 2025 GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code ICML 2025 BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics ICLR 2024 FUGAL: Feature-fortified Unrestricted Graph Alignment NeurIPS 2024 GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking ICLR 2024 GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules NeurIPS 2024 Mirage: Model-agnostic Graph Distillation for Graph Classification ICLR 2024 AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling NeurIPS 2023 Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems ICLR 2023 GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets ICML 2023 LIMIP: Lifelong Learning to Solve Mixed Integer Programs AAAI 2023 StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes ICML 2023 Task and Model Agnostic Adversarial Attack on Graph Neural Networks AAAI 2023 FairFoody: Bringing In Fairness in Food Delivery AAAI 2022 Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers IJCAI 2022 GREED: A Neural Framework for Learning Graph Distance Functions NeurIPS 2022 Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network NeurIPS 2022 TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs AAAI 2022 Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems NeurIPS 2022 GraphReach: Position-Aware Graph Neural Network using Reachability Estimations IJCAI 2021 NeuroMLR: Robust & Reliable Route Recommendation on Road Networks NeurIPS 2021 GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NeurIPS 2020