Sourav Medya
19 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (12)
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(40)
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Century Club
(17)
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Conferences
NIPS (5)
AAAI (4)
ACL (3)
EMNLP (3)
ICLR (2)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(8)
large language model
(4)
patent classification
(3)
multimodal learning
(3)
visual question answering
(2)
shapley value
(2)
design patent
(2)
combinatorial optimization
(2)
patent retrieval
(2)
similarity search
(1)
knowledge distillation
(1)
game theory
(1)
information retrieval
(1)
metric learning
(1)
collaborative filtering
(1)
image retrieval
(1)
domain adaptation
(1)
network analysis
(1)
graph embedding
(1)
outlier detection
(1)
Papers
SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
AAAI 2026
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
ACL 2026
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
ACL 2025
A Survey on Patent Analysis: From NLP to Multimodal AI
ACL 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
EMNLP 2025
BANGS: Game-theoretic Node Selection for Graph Self-Training
ICLR 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
ICML 2025
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
AAAI 2024
An Experimental Analysis on Evaluating Patent Citations
EMNLP 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
NIPS 2024
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
NIPS 2024
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
AAAI 2024
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
AAAI 2023
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
NIPS 2023
GREED: A Neural Framework for Learning Graph Distance Functions
NIPS 2022
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
NIPS 2020
A Game Theoretic Approach For Core Resilience
IJCAI 2020