Quan Gan
13 papers · 2016–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Triple Crown
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Mega-Team Β· Squad
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Prolific Year Β· Productive
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Century Club Β· Bronze
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The Questioner
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Keyword Collector
(55)
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Unstoppable Β· Bronze
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Research topics
Machine Learning
(12)
Deep Learning
(9)
Core Methods
(8)
Architectures
(7)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Science
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Analysis
(1)
Applications
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Keywords
graph neural network
(7)
node classification
(3)
energy function
(2)
bilevel optimization
(2)
relational database
(2)
attention mechanism
(1)
self-supervised learning
(1)
semi-supervised learning
(1)
global ranking
(1)
graph embedding
(1)
directed graph
(1)
ranking recovery
(1)
label propagation
(1)
proximal gradient descent
(1)
knowledge graph
(1)
predictive modeling
(1)
relation prediction
(1)
multi-armed bandit
(1)
regret bound
(1)
weakly supervised learning
(1)
Papers
Griffin: Towards a Graph-Centric Relational Database Foundation Model
ICML 2025
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
AISTATS 2025
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
NeurIPS 2024
From Hypergraph Energy Functions to Hypergraph Neural Networks
ICML 2023
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks
NeurIPS 2022
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks
ICML 2022
Inductive Relation Prediction Using Analogy Subgraph Embeddings
ICLR 2022
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation
NeurIPS 2022
Why Propagate Alone? Parallel Use of Labels and Features on Graphs
ICLR 2022
A Biased Graph Neural Network Sampler with Near-Optimal Regret
NeurIPS 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms
ICML 2021
A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses
ICCV 2017
Facial Expression Intensity Estimation Using Ordinal Information
CVPR 2016