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02/17/2021
Fast Graph Learning with Unique Optimal Solutions
Graph Representation Learning (GRL) has been advancing at an unprecedent...
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02/08/2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Graph Representation Learning (GRL) methods have impacted fields from ch...
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09/14/2020
Zero-shot Synthesis with Group-Supervised Learning
Visual cognition of primates is superior to that of artificial neural ne...
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07/23/2020
End-to-end Learning of Compressible Features
Pre-trained convolutional neural networks (CNNs) are powerful off-the-sh...
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05/07/2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
There has been a surge of recent interest in learning representations fo...
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11/23/2019
Meta Adaptation using Importance Weighted Demonstrations
Imitation learning has gained immense popularity because of its high sam...
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09/10/2019
Human Languages in Source Code: Auto-Translation for Localized Instruction
Computer science education has promised open access around the world, bu...
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04/30/2019
MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing
Existing popular methods for semi-supervised learning with Graph Neural ...
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02/04/2019
Identifying and Analyzing Cryptocurrency Manipulations in Social Media
Interest surrounding cryptocurrencies, digital or virtual currencies tha...
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02/24/2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
Graph Convolutional Networks (GCNs) have shown significant improvements ...
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10/26/2017
Watch Your Step: Learning Graph Embeddings Through Attention
Graph embedding methods represent nodes in a continuous vector space, pr...
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05/16/2017
Learning Edge Representations via Low-Rank Asymmetric Projections
We propose a new method for embedding graphs while preserving directed e...
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09/27/2016
YouTube-8M: A Large-Scale Video Classification Benchmark
Many recent advancements in Computer Vision are attributed to large data...
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11/09/2015