resolutions-2019A list of data mining and machine learning papers that I implemented in 2019.
Stars: ✭ 19 (-99.3%)
Mutual labels: network-embedding, graph-convolutional-networks, gcn, node2vec, graph-embedding
Awesome Graph ClassificationA collection of important graph embedding, classification and representation learning papers with implementations.
Stars: ✭ 4,309 (+59.53%)
Mutual labels: network-embedding, graph-convolutional-networks, node2vec, graph-embedding
walkletsA lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).
Stars: ✭ 94 (-96.52%)
Mutual labels: node2vec, graph-embedding, graph-neural-networks
FEATHERThe reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Stars: ✭ 34 (-98.74%)
Mutual labels: network-embedding, node2vec, graph-embedding
FSCNMFAn implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Stars: ✭ 16 (-99.41%)
Mutual labels: network-embedding, node2vec, graph-embedding
Literatures-on-GNN-AccelerationA reading list for deep graph learning acceleration.
Stars: ✭ 50 (-98.15%)
Mutual labels: graph-convolutional-networks, gcn, graph-neural-networks
Graph Based Deep Learning Literaturelinks to conference publications in graph-based deep learning
Stars: ✭ 3,428 (+26.92%)
Mutual labels: graph, graph-convolutional-networks, graph-neural-networks
BGCNA Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
Stars: ✭ 129 (-95.22%)
Mutual labels: gcn, graph-learning, graph-neural-networks
GNN-Recommender-SystemsAn index of recommendation algorithms that are based on Graph Neural Networks.
Stars: ✭ 505 (-81.3%)
Mutual labels: graph-convolutional-networks, gcn, graph-neural-networks
StellargraphStellarGraph - Machine Learning on Graphs
Stars: ✭ 2,235 (-17.25%)
Mutual labels: graph-convolutional-networks, gcn, graph-neural-networks
RolXAn alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)
Stars: ✭ 52 (-98.07%)
Mutual labels: node2vec, graph-embedding
kGCNA graph-based deep learning framework for life science
Stars: ✭ 91 (-96.63%)
Mutual labels: graph-convolutional-networks, gcn
LibAUCAn End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).
Stars: ✭ 115 (-95.74%)
Mutual labels: gcn, graph-neural-networks
Spectral-Designed-Graph-ConvolutionsCodes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper
Stars: ✭ 39 (-98.56%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
TriDNRTri-Party Deep Network Representation, IJCAI-16
Stars: ✭ 72 (-97.33%)
Mutual labels: network-embedding, graph-embedding
Walk-TransformerFrom Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)
Stars: ✭ 26 (-99.04%)
Mutual labels: random-walk, graph-neural-networks
ProteinGCNProteinGCN: Protein model quality assessment using Graph Convolutional Networks
Stars: ✭ 88 (-96.74%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
Traffic-Prediction-Open-Code-SummarySummary of open source code for deep learning models in the field of traffic prediction
Stars: ✭ 58 (-97.85%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
graphml-tutorialsTutorials for Machine Learning on Graphs
Stars: ✭ 125 (-95.37%)
Mutual labels: graph-convolutional-networks, graph-neural-networks
