Sayan Ranu
22 papers · 2020–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(30)
π
Conference Polyglot
(5)
π
Triple Crown
π
Grand Slam
π
Keyword Champion
(4)
π
Century Club
(22)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(84)
π₯
Unstoppable
(6)
Conferences
NIPS (8)
ICLR (5)
AAAI (4)
ICML (3)
IJCAI (2)
Top co-authors
Keywords
graph neural network
(8)
inductive learning
(4)
gig economy
(2)
generative model
(2)
combinatorial optimization
(2)
graph convolutional network
(2)
graph matching
(1)
similarity search
(1)
reinforcement learning
(1)
branch and bound
(1)
message passing
(1)
sensor networks
(1)
graph embedding
(1)
time series forecasting
(1)
graph generation
(1)
metric learning
(1)
lifelong learning
(1)
resource allocation
(1)
influence maximization
(1)
trajectory prediction
(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
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
ICLR 2024
Mirage: Model-agnostic Graph Distillation for Graph Classification
ICLR 2024
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
ICLR 2024
FUGAL: Feature-fortified Unrestricted Graph Alignment
NIPS 2024
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules
NIPS 2024
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems
ICLR 2023
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
ICML 2023
AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling
NIPS 2023
LIMIP: Lifelong Learning to Solve Mixed Integer Programs
AAAI 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
ICML 2023
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
AAAI 2023
Gigs with Guarantees: Achieving Fair Wage for Food Delivery Workers
IJCAI 2022
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems
NIPS 2022
GREED: A Neural Framework for Learning Graph Distance Functions
NIPS 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network
NIPS 2022
TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs
AAAI 2022
FairFoody: Bringing In Fairness in Food Delivery
AAAI 2022
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks
NIPS 2021
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
IJCAI 2021
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
NIPS 2020