THUMN Lab

AutoGL

An autoML framework & toolkit for machine learning on graphs.

awesome-large-graph-model

Papers about large graph models.

awesome-graph-ood

Papers about out-of-distribution generalization on graphs.

awesome-auto-graph-learning

A paper collection about automated graph learning

CurML

NAS-Bench-Graph

AutoAttend

Code Implementation for AutoAttend: Automated Attention Representation Search

AutoGL-light

AutoGraph

KDD Cup 2020 AutoGraph Challenge 6th place solution

AROPE

This is a sample implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

M-NMF

This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).

nrlweb

DRNE

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

GAUSS

GAUSS: Graph ArchitectUre Search at Scale. A graph architecture search framework to search for graphs with more than 10^8 nodes within 1 GPU day (32G V100)

AutoNE

The Implementation of "AutoNE: Hyperparameter Optimization for Massive Network Embedding"(KDD 2019)

DHNE

The implementation of "Structural Deep Embedding for Hyper-Networks", AAAI 2018.

TIMERS

This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).

AffineGAN

PyTorch Implementation of "Facial Image-to-Video Translation by a Hidden Affine Transformation" in MM'19.

CurBench

DHPE

This is a sample implementation of "Dynamic High-order Proximity preserved Embedding (DHPE)" (TKDE 2018).

HOPE

This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).

IB-D2GAT

Powerlaw_TP

This is a sample implementation of "Power-law Distribution Aware Trust Prediction", IJCAI 2018.

RandNE

This is a sample implementation of "Billion-scale Network Embedding with Iterative Random Projection" (ICDM 2018).

RobustGCN

This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.