Aravind Sankar aravindsankar28

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1. DySATDySATPublic

   Representation learning on dynamic graphs using self-attention networks

   Python 295 42

2. Meta-GNNMeta-GNNPublic

   Implementation of Meta-GNN in TensorFlow

   C++ 47 14

3. Inf-VAEInf-VAEPublic

   Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction

   Python 28 9

4. CrowdDynamicsLab/GroupIMCrowdDynamicsLab/GroupIMPublic

   Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)

   Python 48 12

5. GraFRankGraFRankPublic

   Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021).

   Python 36 6

6. RamanLab/ReactionMinerRamanLab/ReactionMinerPublic

   Tool to predict (bio)chemical reactions using graph mining.

   C++ 22 10