Sourav Medya
19 papers · 2020–2026 · 7 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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πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π¬
Deep Specialist
(11)
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Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(83)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
Top co-authors
Research topics
Deep Learning
(14)
Machine Learning
(14)
Artificial Intelligence
(13)
Core AI
(13)
Architectures
(11)
Learning Types Β· Machine Learning
(6)
Application Areas
(5)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Mathematics & Optimization
(3)
Natural Language Processing
(3)
Optimization
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Keywords
graph neural network
(11)
large language model
(4)
multimodal learning
(3)
patent classification
(3)
visual question answering
(2)
game theory
(2)
node selection
(2)
shapley value
(2)
design patent
(2)
patent retrieval
(2)
combinatorial optimization
(2)
pre-trained language model
(2)
knowledge distillation
(1)
interpretability
(1)
collaborative filtering
(1)
domain adaptation
(1)
metric learning
(1)
image retrieval
(1)
outlier detection
(1)
graph clustering
(1)
Papers
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
ACL 2026
SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems
AAAI 2026
A Survey on Patent Analysis: From NLP to Multimodal AI
ACL 2025
BANGS: Game-theoretic Node Selection for Graph Self-Training
ICLR 2025
COMRECGC: Global Graph Counterfactual Explainer through Common Recourse
ICML 2025
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
EMNLP 2025
LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation
EMNLP 2025
Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach
ACL 2025
An Experimental Analysis on Evaluating Patent Citations
EMNLP 2024
COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems
AAAI 2024
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
AAAI 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
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
NeurIPS 2024
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
NeurIPS 2023
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
AAAI 2023
GREED: A Neural Framework for Learning Graph Distance Functions
NeurIPS 2022
A Game Theoretic Approach For Core Resilience
IJCAI 2020
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs
NeurIPS 2020