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graph-learning
Here are 13 public repositories matching this topic...
Training neural models with structured signals.
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Jan 30, 2020 - Python
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
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Jan 26, 2020 - Python
Unsupervised Universal Self-Attention Network for Graph Classification
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Jan 29, 2020 - Python
linas
commented
Jul 10, 2019
There is some kind of thread-race condition described at lines 550-575 of link-pipeline.scm -- its talking about problems that arise when the same sentence is fed through the system in rapid succession. Apparently, the code is trying to remove Atoms to reduce clutter, but is sloppy in doing so. There is no reason to be sloppy; this should be fixed. The best way for doing this might be to use `(
Code accompanying the paper "Iterative Deep Graph Learning for Graph Neural Networks"
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Jan 30, 2020
MATLAB code for the ICDM paper "Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering"
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Dec 27, 2019 - MATLAB
Pytorch Implementation of GNN Meta Attack paper.
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Jan 24, 2020 - Python
Baseline collective classification library
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Sep 7, 2019 - Julia
Graph construction from data using Non Negative Kernel Regression
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Jan 24, 2020 - MATLAB
This repository contains implementation of Covariant Compositional Networks in Tensorflow 2 for replication study of the paper that introduced them originally.
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Jan 30, 2020 - Python
Learn instance weight by reliability propagation on an adaptive graph
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Jan 15, 2018 - Scala
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base_layers.py中：embedding 的call
def call(self, inputs):
shape = inputs.shape
inputs = tf.reshape(inputs,[-1])
output_shape = shape.concatenate(self.dim)
output_shape = [d if d is not None else -1 for d in output_shape.as_list()] #//tensorshape->[,,] list
return tf.reshape(tf.nn.embedding_lookup(self.embeddings, inputs),output_shape)
**GraphSage-ShallowEncoder e