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aslib_data

Algorithm Selection scenario data

awesome-database-learning

A list of learning materials to understand databases internals

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deepdb-public

Implementation of DeepDB: Learn from Data, not from Queries!

don

Deep Graph Ordering

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

g-meta

Graph meta learning via local subgraphs (NeurIPS 2020)

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

graph-generation

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

gwl

Gromov-Wasserstein Learning for Graph Matching and Node Embedding

hgin

kangfei.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

latentspn

leetcode

Play Leetcode with different Programming language

lss

Released code for [sigmod'21] A learned Sketch for Subgraph Counting

nngp-src

NNGP Estimator of [SIGMOD'22] Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process

optimizing-subgraph-queries-combining-binary-and-worst-case-optimal-joins

Code for the paper titled "Optimizing Subgraph Queries by Combining Binary and Worst-Case Optimal Joins". VLDB'19

s-gwl

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

scgcn

Release code for [TKDE'2021]Finding Critical Users in Social Communities via Graph Convolutions

spflow

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

tspselector

initial commit