Nitesh V. Chawla

27 papers · 2004–2026 · 6 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (16) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (4)

🌉 Interdisciplinary Bridge 🏃 Academic Marathon (21) 🗺️ Taxonomy Completionist (16) 🌟 Keyword Trendsetter Combo (3) 🤝 Dynamic Duo (11) 🔬 Deep Specialist (10) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (7) 🗃️ Keyword Collector (138) ❓ The Questioner (2) 💎 Century Club (25) 📈 Trend Setter

Conferences

IJCAI (10) AAAI (8) NIPS (4) JMLR (3) ACL (1) EMNLP (1)

Top co-authors

Chuxu Zhang (11) Zhichun Guo (7) Xiangliang Zhang (7) Yijun Tian (7) Olaf Wiest (4) kehan Guo (3) Yanfang Ye (2) Bozhao Nan (2) Chao Huang (2) Deng Pan (2)

Keywords

graph neural network (11) large language model (5) few-shot learning (4) graph representation (3) node classification (3) graph representation learning (3) link prediction (3) text classification (2) retrieval-augmented generation (2) heterogeneous graph (2) graph classification (2) unsupervised learning (2) question answering (2) foundation model (2) sentiment analysis (1) adversarial learning (1) ensemble learning (1) anomaly detection (1) benchmark evaluation (1) representation learning (1)

Papers

Continuous Context Sampling Allows Extending Diversity Boundaries of Large Language Models ACL 2026 Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond IJCAI 2025 Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities IJCAI 2025 What is Behind Homelessness Bias? Using LLMs and NLP to Mitigate Homelessness by Acting on Social Stigma IJCAI 2025 Fast Explanations via Policy Gradient-Optimized Explainer IJCAI 2025 AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Editing EMNLP 2025 Pure Message Passing Can Estimate Common Neighbor for Link Prediction NIPS 2024 GFT: Graph Foundation Model with Transferable Tree Vocabulary NIPS 2024 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NIPS 2024 Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation NIPS 2024 Graph Neural Prompting with Large Language Models AAAI 2024 Introduction to the Special Track on Artificial Intelligence and COVID-19 (Abstract Reprint) AAAI 2024 Large Language Model Based Multi-agents: A Survey of Progress and Challenges IJCAI 2024 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator AAAI 2023 Heterogeneous Graph Masked Autoencoders AAAI 2023 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 Graph-based Molecular Representation Learning IJCAI 2023 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation IJCAI 2022 Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks IJCAI 2022 Few-Shot Learning on Graphs IJCAI 2022 Few-Shot Knowledge Graph Completion AAAI 2020 Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network AAAI 2020 A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data AAAI 2019 Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference IJCAI 2018 LPmade: Link Prediction Made Easy JMLR 2011 Model Monitor (M2): Evaluating, Comparing, and Monitoring Models JMLR 2009 Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004