camerondiao Goto Github PK

bag-of-tricks-nrl

big-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

conf-gfn

gflownet

GFlowNet library specialized for graph & molecular data

glvq-for-classification-in-randomized-nn-and-hdc

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

gpt-gnn

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

graph-generation

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

graphcl

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

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

grover

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

hdvecsym

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

itergnn

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

lab3-yalnix-file-system

mgssl

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

molclr

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

molgnn_fewshot

pretrain-gnns

Strategies for Pre-training Graph Neural Networks

relational-transformer

rice-left

Rice Left Website

torchgfn

GFlowNet library