snash4's Stars
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
tkipf/relational-gcn
Keras-based implementation of Relational Graph Convolutional Networks
pytorch/kineto
A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.
rasbt/stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
HazyResearch/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.
KaHIP/KaHIP
KaHIP -- Karlsruhe HIGH Quality Partitioning.
mana-ysh/knowledge-graph-embeddings
Implementations of Embedding-based methods for Knowledge Base Completion tasks
JinheonBaek/RGCN
Pytorch implementation of a RGCN Link Prediction Model
AstraZeneca/awesome-drug-discovery-knowledge-graphs
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
facebookresearch/shaDow_GNN
NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures
thiviyanT/torch-rgcn
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
Dru-Mara/EvalNE
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
graph-knowledgegraph/KDD2019-HandsOn-Tutorial
KDD 2019 hands-on tutorial
ansrlab/edgepart
Graph edge partitioning algorithms
zekarias-tilahun/cas2vec
Tensorflow Implementation of the cas2vec algorithm as described in the paper, "Network-Agnostic Cascade Prediction in Online Social Networks"
snash4/Aho-Corasick-
Aho Corasick string matching in python
snash4/SeHGNN