Nitesh V Chawla
12 papers · 2023–2026 · 6 venues · across top CS/AI venues
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(2)
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Keywords
graph neural network
(4)
protein-protein interaction
(2)
large language model
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pretraining
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graph representation learning
(1)
knowledge distillation
(1)
link prediction
(1)
chebyshev polynomial
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transfer learning
(1)
message passing
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knowledge graph
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foundation model
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vision-language model
(1)
drug discovery
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feature reconstruction
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language model evaluation
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model reliability
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student model
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agentic workflow
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question answering
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Papers
Adaptive and Context-rich Generative Self-supervised Learning on Graphs
AAAI 2026
CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?
ACL 2026
AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
EMNLP 2025
Beyond Message Passing: Neural Graph Pattern Machine
ICML 2025
Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge
ICLR 2025
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
ACL 2025
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
ICML 2025
GFT: Graph Foundation Model with Transferable Tree Vocabulary
NeurIPS 2024
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
ICML 2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
ICLR 2024
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
ICML 2024
Linkless Link Prediction via Relational Distillation
ICML 2023