TCEThis repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).
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awesome-efficient-gnnCode and resources on scalable and efficient Graph Neural Networks
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Mutual labels: graph-convolutional-networks, graph-neural-networks
Deeplearning Nlp ModelsA small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
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Mutual labels: tutorials, embeddings
DecagonGraph convolutional neural network for multirelational link prediction
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Mutual labels: embeddings, representation-learning
SimP-GCNImplementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"
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Mutual labels: graph-convolutional-networks, graph-neural-networks
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
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Mutual labels: embeddings, representation-learning
SelfGNNA PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).
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Mutual labels: graph-convolutional-networks, graph-neural-networks
StellargraphStellarGraph - Machine Learning on Graphs
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Mutual labels: graph-convolutional-networks, graph-neural-networks
DCGCNDensely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)
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Mutual labels: graph-convolutional-networks, graph-neural-networks
image embeddingsUsing efficientnet to provide embeddings for retrieval
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Mutual labels: embeddings, representation-learning
entity-embedPyTorch library for transforming entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
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Mutual labels: embeddings, representation-learning
gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
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Mutual labels: representation-learning, graph-neural-networks
JodieA PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
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Mutual labels: embeddings, representation-learning
EulerA distributed graph deep learning framework.
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Mutual labels: graph-convolutional-networks, graph-neural-networks
how attentive are gatsCode for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
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Mutual labels: networks, graph-neural-networks
Graph Based Deep Learning Literaturelinks to conference publications in graph-based deep learning
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Mutual labels: graph-convolutional-networks, graph-neural-networks
Pytorch geometricGraph Neural Network Library for PyTorch
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Mutual labels: graph-convolutional-networks, graph-neural-networks
PyNetsA Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
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Mutual labels: networks, graph-neural-networks
SubGNNSubgraph Neural Networks (NeurIPS 2020)
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Mutual labels: embeddings, graph-neural-networks
