Neil Shah

Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings ACL 2026 MemRec: Collaborative Memory-Augmented Agentic Recommender System ACL 2026 Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling ACL 2026 Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks ICML 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning ICML 2025 Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning CVPR 2025 NAM-to-Speech Conversion with Multitask-Enhanced Autoregressive Models Interspeech 2025 A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024 Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024 How Does Message Passing Improve Collaborative Filtering? NeurIPS 2024 LLaGA: Large Language and Graph Assistant ICML 2024 ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations EACL 2024 Position: Graph Foundation Models Are Already Here ICML 2024 Revisiting Link Prediction: a data perspective ICLR 2024 Towards Improving NAM-to-Speech Synthesis Intelligibility using Self-Supervised Speech Models Interspeech 2024 Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation ICLR 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking NeurIPS 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023 GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation NeurIPS 2023 Linkless Link Prediction via Relational Distillation ICML 2023 Link Prediction with Non-Contrastive Learning ICLR 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization ICLR 2023 Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization ICLR 2023 A Practical, Progressively-Expressive GNN NeurIPS 2022 Automated Self-Supervised Learning for Graphs ICLR 2022 From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness ICLR 2022 Graph Condensation for Graph Neural Networks ICLR 2022 Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation ICLR 2022 GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games NeurIPS 2022 Is Homophily a Necessity for Graph Neural Networks? ICLR 2022 Data Augmentation for Graph Neural Networks AAAI 2021 The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks COLING 2020 Effectiveness of Generative Adversarial Network for Non-Audible Murmur-to-Whisper Speech Conversion Interspeech 2018