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anchor-graph-hashing

biokg

A Knowledge Graph for Relational Learning On Biological Data

btob-t

BTOB-D : Bilateral orchesTrated deep learning graph Kernel framework based on proteogenOmics of Breast Cancer for Drug repositioning

cadrres-sc

CaDRReS-Sc is a framework for analyzing drug response heterogeneity based on single-cell RNA-seq data

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

datasets_knowledge_embedding

Datasets for Knowledge Graph Completion with textual information about the entities

demokg

DemoKG is a knowledge graph tutorials for students and researchers. The tutorials include related topics suchas SPO triple preparation, Graph Database, Knowledge Graph Embedding, LLM integrations and Graph Visualizations

eagr

Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization

examples

TensorFlow examples

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

graph-attention-networks

Graph Attention Networks in Tensorflow 2.0

graph-isomorphism-networks

A Tensorflow 2.0 implementation of Graph Isomorphism Networks.

graph_nets

Build Graph Nets in Tensorflow

graphkernels

A package for computing Graph Kernels

graphvite

GraphVite: A General and High-performance Graph Embedding System

knowledge_graph_based_intent_network

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

knowledgegraphembedding

literale

Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

my-new-project

nsides-release

Analysis notebooks and database interaction scripts for the nsides project

powerful-gnns

How Powerful are Graph Neural Networks?

pytorch-deep-learning-template

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

pytorch-tvmisc

Totally Versatile Miscellanea for Pytorch

rethinking-pooling-in-gnns

segformer

Implementation of SegFormer in PyTorch

spectral-gromov-wasserstein

Graph matching and clustering by comparing heat kernels via optimal transport.

spektral

Graph Neural Networks with Keras and Tensorflow 2.

src

Code for "Understanding Pooling in Graph Neural Networks"