CameronDiao

torchgfn

GFlowNet library

gflownet

GFlowNet library specialized for graph & molecular data

graph-generation

Reference implementation of the paper "Efficient and Scalable Graph Generation through Iterative Local Expansion"

conf-gfn

lab3-yalnix-file-system

relational-transformer

GraphCL

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

MolCLR

Implementation of "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyTorch Geometric

GLVQ-For-Classification-In-Randomized-NN-And-HDC

Constructing a GLVQ classifier to predict class labels of UCI datasets.

MGSSL

Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"

IterGNN

Code for "Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs" (NeurIPS 2020)

GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

Bag-Of-Tricks-NRL

grover

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Rice-Left

Rice Left Website

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

MolGNN_fewshot

BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

GPT-GNN

Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"

HDVecSym

Python module for frameworks knows as Vector Symbolic Architectures or Hyperdimensional Computing