github.com
Stream-AD/MIDAS
· Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. - Stream-AD/MIDAS · Shared by 9, including Kirk Borne, Matt Shaffer
github.com
graphdeeplearning/benchmarking-gnns
· Repository for benchmarking graph neural networks. Contribute to graphdeeplearning/benchmarking-gnns development by creating an account on GitHub. · Shared by 5, including Matt Shaffer
github.com
Diego999/pyGAT
· Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903) - Diego999/pyGAT · Shared by 5, including Matt Shaffer
github.com
danielegrattarola/spektral
· A Python framework for relational representation learning in Keras. - danielegrattarola/spektral · Shared by 17, including Nico Müller 🇺🇦, Matt Shaffer, Christopher D. Long, Dr. Ganapathi Pulipaka 🇺🇸, Vikram Dutt
github.com
RexYing/gnn-model-explainer
· gnn explainer. Contribute to RexYing/gnn-model-explainer development by creating an account on GitHub. · Shared by 5, including Matt Shaffer
github.com
RexYing/diffpool
· Contribute to RexYing/diffpool development by creating an account on GitHub. · Shared by 7, including Matt Shaffer
github.com
qipeng/gcn-over-pruned-trees
· Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation) - qipeng/gcn-over-pruned-trees · Shared by 6, including Matt Shaffer