Neil Shah
34 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(14)
🤝
Dynamic Duo
(16)
👑
Triple Crown
🏆
Grand Slam
🏆
Keyword Champion
(2)
💎
Century Club
(31)
⚡
Prolific Year
(10)
❓
The Questioner
(4)
🗃️
Keyword Collector
(68)
🔥
Unstoppable
(6)
Conferences
ICLR (11)
ICML (6)
NIPS (6)
ACL (5)
INTERSPEECH (2)
AAAI (1)
COLING (1)
CVPR (1)
EACL (1)
Top co-authors
Keywords
graph neural network
(9)
node classification
(3)
link prediction
(2)
message passing neural network
(2)
message passing
(2)
self-supervised learning
(2)
representation learning
(2)
test-time augmentation
(2)
decision making
(1)
speech synthesis
(1)
adversarial optimization
(1)
cross-lingual transfer
(1)
information retrieval
(1)
language modeling
(1)
data augmentation
(1)
knowledge distillation
(1)
semi-supervised learning
(1)
machine unlearning
(1)
graph representation
(1)
feature importance
(1)
Papers
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
ACL 2026
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
ACL 2026
MemRec: Collaborative Memory-Augmented Agentic Recommender System
ACL 2026
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
Haste Makes Waste: A Simple Approach for Scaling Graph Neural Networks
ICML 2025
LLaGA: Large Language and Graph Assistant
ICML 2024
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
Position: Graph Foundation Models Are Already Here
ICML 2024
Towards Improving NAM-to-Speech Synthesis Intelligibility using Self-Supervised Speech Models
INTERSPEECH 2024
ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations
EACL 2024
How Does Message Passing Improve Collaborative Filtering?
NIPS 2024
Revisiting Link Prediction: a data perspective
ICLR 2024
Empowering Graph Representation Learning with Test-Time Graph Transformation
ICLR 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
NIPS 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
NIPS 2023
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
ACL 2023
Link Prediction with Non-Contrastive Learning
ICLR 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
ICLR 2023
Forget Unlearning: Towards True Data-Deletion in Machine Learning
ICML 2023
Linkless Link Prediction via Relational Distillation
ICML 2023
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
NIPS 2022
Automated Self-Supervised Learning for Graphs
ICLR 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation
ICLR 2022
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
ICLR 2022
Graph Condensation for Graph Neural Networks
ICLR 2022
A Practical, Progressively-Expressive GNN
NIPS 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