Browse > Graphs > Graph Generation

Graph Generation

34 papers with code · Graphs

Leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Latest papers with code

GPS-Net: Graph Property Sensing Network for Scene Graph Generation

29 Mar 2020taksau/GPS-Net

There are three key properties of scene graph that have been underexplored in recent works: namely, the edge direction information, the difference in priority between nodes, and the long-tailed distribution of relationships.

GRAPH GENERATION SCENE GRAPH GENERATION

7
29 Mar 2020

Permutation Invariant Graph Generation via Score-Based Generative Modeling

2 Mar 2020ermongroup/GraphScoreMatching

In particular, we design a permutation equivariant, multi-channel graph neural network to model the gradient of the data distribution at the input graph (a. k. a., the score function).

GRAPH GENERATION

4
02 Mar 2020

Unbiased Scene Graph Generation from Biased Training

27 Feb 2020KaihuaTang/Scene-Graph-Benchmark.pytorch

Today's scene graph generation (SGG) task is still far from practical, mainly due to the severe training bias, e. g., collapsing diverse "human walk on / sit on / lay on beach" into "human on beach".

CAUSAL INFERENCE GRAPH GENERATION SCENE GRAPH GENERATION

163
27 Feb 2020

Hierarchical Generation of Molecular Graphs using Structural Motifs

8 Feb 2020wengong-jin/hgraph2graph

Indeed, as we demonstrate, their performance degrades significantly for larger molecules.

DRUG DISCOVERY GRAPH GENERATION

21
08 Feb 2020

GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation

22 Jan 2020idea-iitd/graphgen

Minimum DFS codes are canonical labels and capture the graph structure precisely along with the label information.

GRAPH GENERATION

6
22 Jan 2020

Deep Graph Translation

ICLR 2020 anonymous1025/Deep-Graph-Translation-

Deep graph generation models have achieved great successes recently, among which, however, are typically unconditioned generative models that have no control over the target graphs are given an input graph.

GRAPH GENERATION

8
01 Jan 2020

Efficient Graph Generation with Graph Recurrent Attention Networks

NeurIPS 2019 lrjconan/GRAN

Our model generates graphs one block of nodes and associated edges at a time.

GRAPH GENERATION

240
01 Dec 2019

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology

NeurIPS 2019 nimadehmamy/Understanding-GCN

Additionally, combining GCN modules with different propagation rules is critical to the representation power of GCNs.

GRAPH GENERATION

16
01 Dec 2019

Deep imitation learning for molecular inverse problems

NeurIPS 2019 thejonaslab/2019-NeurIPS-molecular-inverse-problems

We show for a wide variety of molecules we can quickly compute the correct molecular structure, and can detect with reasonable certainty when our method cannot.

ACTIVE LEARNING GRAPH GENERATION IMITATION LEARNING STRUCTURED PREDICTION

0
01 Dec 2019

Image-Conditioned Graph Generation for Road Network Extraction

31 Oct 2019davide-belli/generative-graph-transformer

For this, we introduce the Toulouse Road Network dataset, based on real-world publicly-available data.

GRAPH GENERATION SEMANTIC SEGMENTATION

27
31 Oct 2019