← Authors

Neil Shah

31 papers · 2018–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (33) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club (31) ⚑ Prolific Year (10) ❓ The Questioner (4) πŸ—ƒοΈ Keyword Collector (68) πŸ”₯ Unstoppable (6)

Conferences

ICLR (11) ICML (6) NIPS (6) ACL (2) INTERSPEECH (2) AAAI (1) COLING (1) CVPR (1) EACL (1)

Top co-authors

Tong Zhao (16) Yozen Liu (9) Jiliang Tang (9) Yao Ma (7) Wei Jin (5) Shichang Zhang (4) Leonardo Neves (4) Haitao Mao (4) Juanhui Li (3) Lingxiao Zhao (3)

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) content moderation (1) explainable ai (1) data augmentation (1) knowledge distillation (1) semi-supervised learning (1) graph structure (1) speech enhancement (1) graph representation (1)

Papers

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
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning ICML 2025
Position: Graph Foundation Models Are Already Here ICML 2024
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance ICLR 2024
Revisiting Link Prediction: a data perspective ICLR 2024
LLaGA: Large Language and Graph Assistant ICML 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster ACL 2024
ParrotTTS: Text-to-speech synthesis exploiting disentangled self-supervised representations EACL 2024
How Does Message Passing Improve Collaborative Filtering? NIPS 2024
Towards Improving NAM-to-Speech Synthesis Intelligibility using Self-Supervised Speech Models INTERSPEECH 2024
Link Prediction with Non-Contrastive Learning 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
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization ICLR 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization ICLR 2023
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023
Empowering Graph Representation Learning with Test-Time Graph Transformation ICLR 2023
Linkless Link Prediction via Relational Distillation ICML 2023
Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation ICLR 2022
A Practical, Progressively-Expressive GNN NIPS 2022
Is Homophily a Necessity for Graph Neural Networks? ICLR 2022
Graph Condensation for Graph Neural Networks ICLR 2022
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness ICLR 2022
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games NIPS 2022
Automated Self-Supervised Learning for Graphs 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