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18 papers with code · Graphs

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DyNet: The Dynamic Neural Network Toolkit

15 Jan 2017clab/cnn

In the static declaration strategy that is used in toolkits like Theano, CNTK, and TensorFlow, the user first defines a computation graph (a symbolic representation of the computation), and then examples are fed into an engine that executes this computation and computes its derivatives.

2,931

Visualizing Large-scale and High-dimensional Data

1 Feb 2016lferry007/LargeVis

We propose the LargeVis, a technique that first constructs an accurately approximated K-nearest neighbor graph from the data and then layouts the graph in the low-dimensional space.

526

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

23 Sep 2016ZJULearning/nsg

In this paper, we propose EFANNA, an extremely fast approximate nearest neighbor search algorithm based on $k$NN Graph.

314

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction

We present the first comprehensive study on automatic knowledge base construction for two prevalent commonsense knowledge graphs: ATOMIC (Sap et al., 2019) and ConceptNet (Speer et al., 2017).

183

LEARNING TO PROPAGATE LABELS: TRANSDUCTIVE PROPAGATION NETWORK FOR FEW-SHOT LEARNING

The goal of few-shot learning is to learn a classifier that generalizes well even when trained with a limited number of training instances per class.

168

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

In addition, the second-order information (the lengths and directions of bones) of the skeleton data, which is naturally more informative and discriminative for action recognition, is rarely investigated in existing methods.

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Towards Dynamic Computation Graphs via Sparse Latent Structure

Deep NLP models benefit from underlying structures in the data---e. g., parse trees---typically extracted using off-the-shelf parsers.

90

IPRE: a Dataset for Inter-Personal Relationship Extraction

30 Jul 2019SUDA-HLT/IPRE

Our data is the first dataset for inter-personal relationship extraction.

39

Low-shot learning with large-scale diffusion

This paper considers the problem of inferring image labels from images when only a few annotated examples are available at training time.

39

IPC: A Benchmark Data Set for Learning with Graph-Structured Data

15 May 2019IBM/IPC-graph-data

Benchmark data sets are an indispensable ingredient of the evaluation of graph-based machine learning methods.

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