SOTAVerified

Graph Generation

Graph Generation is an important research area with significant applications in drug and material designs.

Source: Graph Deconvolutional Generation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 551–600 of 712 papers

TitleStatusHype
Scene Graph Generation with Geometric Context—0
Network Generation with Differential Privacy—0
Improving Query Graph Generation for Complex Question Answering over Knowledge Base—0
Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labellingCode0
A Scalable AutoML Approach Based on Graph Neural NetworksCode0
Molecular Graph Generation via Geometric Scattering—0
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation—0
Top-N: Equivariant set and graph generation without exchangeabilityCode0
SGTR: Generating Scene Graph by Learning Compositional Triplets with Transformer—0
GraphEBM: Towards Permutation Invariant and Multi-Objective Molecular Graph Generation—0
Spanning Tree-based Graph Generation for Molecules—0
Gradient-Guided Importance Sampling for Learning Discrete Energy-Based ModelsCode0
Scene Graph Generation for Better Image Captioning?—0
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation—0
Adversarial Stein Training for Graph Energy Models—0
Learning of Visual Relations: The Devil is in the Tails—0
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks—0
Semantic Compositional Learning for Low-shot Scene Graph Generation—0
Computing Steiner Trees using Graph Neural Networks—0
Unconditional Scene Graph Generation—0
ReFormer: The Relational Transformer for Image CaptioningCode0
Image Scene Graph Generation (SGG) Benchmark—0
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired DatasetCode0
GraphGen-Redux: a Fast and Lightweight Recurrent Model for labeled Graph GenerationCode0
Predicate correlation learning for scene graph generation—0
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems—0
On-Demand and Lightweight Knowledge Graph Generation -- a Demonstration with DBpediaCode0
Non-isomorphic Inter-modality Graph Alignment and Synthesis for Holistic Brain MappingCode0
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps—0
TD-GEN: Graph Generation With Tree Decomposition—0
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining—0
Realistic molecule optimization on a learned graph manifold—0
iTelos -- Purpose Driven Knowledge Graph Generation—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Brain Multigraph Prediction using Topology-Aware Adversarial Graph Neural NetworkCode0
VersaGNN: a Versatile accelerator for Graph neural networks—0
Recovering Barabási-Albert Parameters of Graphs through DisentanglementCode0
Segmentation-grounded Scene Graph Generation—0
A Tunable Model for Graph Generation Using LSTM and Conditional VAE—0
DIG: A Turnkey Library for Diving into Graph Deep Learning Research—0
The unknown knowns: a graph-based approach for temporal COVID-19 literature miningCode0
Graph Energy-based Model for Molecular Graph Generation—0
Pre-Training on Dynamic Graph Neural NetworksCode0
Malware Knowledge Graph Generation—0
In-game Residential Home Planning via Visual Context-aware Global Relation Learning—0
GraphDF: A Discrete Flow Model for Molecular Graph Generation—0
GraphEBM: Molecular Graph Generation with Energy-Based ModelsCode0
Understanding the Role of Scene Graphs in Visual Question Answering—0
An Automated Domain Understanding Technique for Knowledge Graph Generation—0
Counterfactual Thinking for Long-tailed Information Extraction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1RNNStreetMover0.03—Unverified
2GraphRNNStreetMover0.02—Unverified
3GGT without CAStreetMover0.02—Unverified
4GGTStreetMover0.02—Unverified