$$ \newcommand{\floor}[1]{\left\lfloor #1 \right\rfloor} \newcommand{\ceil}[1]{\left\lceil #1 \right\rceil} \newcommand{\N}{\mathbb{N}} \newcommand{\R}{\mathbb{R}} \newcommand{\Z}{\mathbb{Z}} \newcommand{\Q}{\mathbb{Q}} \newcommand{\C}{\mathbb{C}} \renewcommand{\L}{\mathcal{L}} \newcommand{\x}{\times} \newcommand{\contra}{\scalebox{1.5}{$\lightning$}} \newcommand{\inner}[2]{\left\langle #1 , #2 \right\rangle} \newcommand{\st}{\text{ such that }} \newcommand{\for}{\text{ for }} \newcommand{\Setcond}[2]{ \left\{\, #1 \mid #2 \, \right\}} \newcommand{\setcond}[2]{\Setcond{#1}{#2}} \newcommand{\seq}[1]{ \left\langle #1 \right\rangle} \newcommand{\Set}[1]{ \left\{ #1 \right\}} \newcommand{\set}[1]{ \Set{#1} } \newcommand{\sgn}{\text{sign}} \newcommand{\halfline}{\vspace{0.5em}} \newcommand{\diag}{\text{diag}} \newcommand{\legn}[2]{\left(\frac{#1}{#2}\right)} \newcommand{\ord}{\text{ord}} \newcommand{\di}{\mathrel{|}} \newcommand{\gen}[1] \newcommand{\irr}{\mathrm{irr }} \renewcommand{\deg}{\mathrm{deg }} \newcommand{\nsgeq}{\trianglelefteq} \newcommand{\nsg}{\triangleleft} \newcommand{\argmin}{\mathrm{argmin}} \newcommand{\argmax}{\mathrm{argmax}} \newcommand{\minimize}{\mathrm{minimize}} \newcommand{\maximize}{\mathrm{maximize}} \newcommand{\subto}{\mathrm{subject\ to}} \newcommand{\DKL}[2]{D_{\mathrm{KL}}\left(#1 \di\di #2\right)} \newcommand{\ReLU}{\mathrm{ReLU}} \newcommand{\E}{\mathsf{E}} \newcommand{\V}{\mathsf{Var}} \newcommand{\Corr}{\mathsf{Corr}} \newcommand{\Cov}{\mathsf{Cov}} \newcommand{\covariance}[1]{\Cov\left(#1\right)} \newcommand{\variance}[1]{\V\left[#1\right]} \newcommand{\variancewith}[1]{\V\left[#1\right]} \newcommand{\expect}[1]{\E\left[#1\right]} \newcommand{\expectwith}[2]{\E_{#1}\left[#2\right]} \renewcommand{\P}{\mathsf{P}} \newcommand{\uniform}[2]{\mathrm{Uniform}\left(#1 \dots #2\right)} \newcommand{\gdist}[2]{\mathcal{N}\left(#1, #2\right)} \DeclarePairedDelimiter{\norm}{\lVert}{\rVert} $$ \everymath{\displaystyle}
June 30, 2023
Estimating Graphlet Statistics via Lifting
March 22, 2023
SSRW - A Scalable Algorithm for Estimating Graphlet Statistics Based on Random Walk
March 20, 2023
GUISE - Uniform Sampling of Graphlets for Large Graph Analysis
March 7, 2023
A General Framework for Estimating Graphlet Statistics via Random Walk
April 4, 2022
MOTIVO - fast motif counting via succinct color coding and adaptive sampling
July 3, 2023
Multiplicative Attribute Graph Model of Real-World Networks
July 2, 2023
Random Graphs with Prescribed 𝐾-Core Sequences- A New Null Model for Network Analysis
July 2, 2023
Scalable Modeling of Real Graphs using Kronecker Multiplication
June 30, 2023
Estimating Graphlet Statistics via Lifting
May 14, 2023
Cut matching games for generalized hypergraph ratio cuts
May 14, 2023
Neighborhood structure configuration models
March 22, 2023
SSRW - A Scalable Algorithm for Estimating Graphlet Statistics Based on Random Walk
March 20, 2023
GUISE - Uniform Sampling of Graphlets for Large Graph Analysis
March 7, 2023
A General Framework for Estimating Graphlet Statistics via Random Walk
April 4, 2022
MOTIVO - fast motif counting via succinct color coding and adaptive sampling
July 25, 2023
TA-GATES - An Encoding Scheme for Neural Network Architectures
July 25, 2023
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
July 21, 2023
NAS-Bench-Suite - NAS Evaluation is (Now) Surprisingly Easy
June 7, 2023
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
May 17, 2023
How powerful are performance predictors in NAS?
October 24, 2022
Strategies for pre-trained GNNs
June 7, 2022
Search to aggregate neighborhood for graph neural network
June 6, 2022
Policy GNN - Aggregation Optimization for Graph Neural Networks
June 6, 2022
Graph differentiable architecture search with structure learning
June 6, 2022
Auto-GNN - Neural architecture search of graph neural networks
June 6, 2022
Neural Architecture Performance Prediction Using Graph Neural Networks
May 18, 2022
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
July 25, 2023
TA-GATES - An Encoding Scheme for Neural Network Architectures
July 25, 2023
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
July 21, 2023
NAS-Bench-Suite - NAS Evaluation is (Now) Surprisingly Easy
May 17, 2023
How powerful are performance predictors in NAS?
October 24, 2022
Strategies for pre-trained GNNs
June 7, 2022
Search to aggregate neighborhood for graph neural network
June 6, 2022
Policy GNN - Aggregation Optimization for Graph Neural Networks
June 6, 2022
Graph differentiable architecture search with structure learning
June 6, 2022
Auto-GNN - Neural architecture search of graph neural networks
June 6, 2022
Neural Architecture Performance Prediction Using Graph Neural Networks
May 18, 2022
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
June 7, 2023
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
May 17, 2023
How powerful are performance predictors in NAS?
May 16, 2023
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
May 15, 2023
Graph Generative Model for Benchmarking Graph Neural Networks
May 14, 2023
An attention Multi-scale co-evolving model for dynamic link prediction
October 24, 2022
Strategies for pre-trained GNNs
June 22, 2022
Node masking
June 7, 2022
Search to aggregate neighborhood for graph neural network
June 6, 2022
Policy GNN - Aggregation Optimization for Graph Neural Networks
June 6, 2022
Graph differentiable architecture search with structure learning
June 6, 2022
Auto-GNN - Neural architecture search of graph neural networks
June 6, 2022
Neural Architecture Performance Prediction Using Graph Neural Networks
May 18, 2022
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS
June 30, 2023
Estimating Graphlet Statistics via Lifting
March 22, 2023
SSRW - A Scalable Algorithm for Estimating Graphlet Statistics Based on Random Walk
March 20, 2023
GUISE - Uniform Sampling of Graphlets for Large Graph Analysis
March 7, 2023
A General Framework for Estimating Graphlet Statistics via Random Walk
June 30, 2023
Estimating Graphlet Statistics via Lifting
March 22, 2023
SSRW - A Scalable Algorithm for Estimating Graphlet Statistics Based on Random Walk
March 20, 2023
GUISE - Uniform Sampling of Graphlets for Large Graph Analysis
March 7, 2023
A General Framework for Estimating Graphlet Statistics via Random Walk
July 26, 2023
Privacy-Preserving Graph Machine Learning from Data to Computation - A Survey
July 3, 2023
Multiplicative Attribute Graph Model of Real-World Networks
July 2, 2023
Random Graphs with Prescribed 𝐾-Core Sequences- A New Null Model for Network Analysis
July 2, 2023
Scalable Modeling of Real Graphs using Kronecker Multiplication
May 15, 2023
Graph Generative Model for Benchmarking Graph Neural Networks
May 14, 2023
Neighborhood structure configuration models