Ambuj K. Singh

Venues

Frequent coauthors

Papers

1. Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026
   SIGKDD 2026 ·

   Srinivasan Parthasarathy

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2. Are LLMs Truly Graph-Savvy? A Comprehensive Evaluation of Graph Generation
   ACL 2025 ·

   Ege Demirci

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3. Attribute-Enhanced Similarity Ranking for Sparse Link Prediction
   SIGKDD 2025 ·

   João Mattos

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4. Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
   WWW 2025 ·

   Saurabh Sharma

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5. GraphEval36K: Benchmarking Coding and Reasoning Capabilities of Large Language Models on Graph Datasets
   NAACL 2025 ·

   Qiming Wu

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6. Normalized Space Alignment: A Versatile Metric for Representation Analysis
   SIGKDD 2025 ·

   Danish Ebadulla

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7. DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization
   AAAI 2024 ·

   Aritra Bhowmick

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8. GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
   ICLR 2024 ·

   Mert Kosan

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9. Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning
   SIGKDD 2024 ·

   Danqing Wang

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10. Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
    NeurIPS 2024 ·

    Sean Jaffe

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11. XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs
    EMNLP 2024 ·

    Zichen Chen

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