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Powerful Gnns
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762
How Powerful are Graph Neural Networks?
Recurrent Relational Networks
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179
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https://arxiv.org/abs/1711.08028
Df Net
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85
Open source code for ACL 2020 Paper "Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog"
Pomo
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62
codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
Pytorch Be Your Own Teacher
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61
A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', https://arxiv.org/abs/1905.08094
Age
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59
Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"
Stabilizing Gans With Octave Convolutions
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34
Code for the paper
Oac Explore
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29
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
Hyper
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28
Hypernetwork Knowledge Graph Embeddings
Dhne
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22
the Implementation of "Structural Deep Embedding for Hyper-Networks"(AAA20I8)
Hyper Representation
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16
This is the official repo for the experiments in the paper "Bilevel Programming for Hyperparameter Optimization and Meta-Learning"
Multimodal_sleep_stage_benchmark
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16
Graph Isomorphism Networks
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15
A Tensorflow 2.0 implementation of Graph Isomorphism Networks.
Provablypowerfulgraphnetworks_torch
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13
Neurallogicreasoning
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12
An Implementation of NLR: Neural Collaborative Reasoning, paper: https://arxiv.org/abs/2005.08129
Classimbalancelearning
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11
This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019
Recurrent Memory
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10
When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?
Provablypowerfulgraphnetworks
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8
Semidefinite Programming Sdp Optimization
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7
Codes for paper "Semidefinite Programming for NLOS Error Mitigation in TDOA Localization"
Dage
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6
Official TensorFlow implementation for "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" [TIP 2021] and "Supervised Domain Adaptation using Graph Embedding" [ICPR 2020]
Ethereum Price Prediction Using Lstm
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5
Capstone project for the course Deep Learning as part of the master Data Science and Society.
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