CameronDiao

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)

relational-transformer

CameronDiao/relational-transformer

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

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

CameronDiao/Bag-Of-Tricks-NRL

CameronDiao/BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

CameronDiao/conf-gfn

CameronDiao/gflownet

GFlowNet library specialized for graph & molecular data

CameronDiao/GPT-GNN

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

CameronDiao/graph-generation

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

CameronDiao/GraphCL

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

CameronDiao/GraphGym

Platform for designing and evaluating Graph Neural Networks (GNN)

CameronDiao/grover

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

CameronDiao/HDVecSym

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

CameronDiao/IterGNN

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

CameronDiao/lab3-yalnix-file-system

CameronDiao/MGSSL

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

CameronDiao/MolCLR

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

CameronDiao/MolGNN_fewshot

CameronDiao/pretrain-gnns

Strategies for Pre-training Graph Neural Networks

CameronDiao/Rice-Left

Rice Left Website

CameronDiao/torchgfn

GFlowNet library