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 351–375 of 712 papers

TitleStatusHype
DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation—0
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation—0
DIG: A Turnkey Library for Diving into Graph Deep Learning Research—0
Discovering Graph Generation Algorithms—0
Disentangled Spatiotemporal Graph Generative Models—0
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs—0
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction—0
Distributed Training of Embeddings using Graph Analytics—0
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning—0
Do Graph Diffusion Models Accurately Capture and Generate Substructure Distributions?—0
Domain-wise Invariant Learning for Panoptic Scene Graph Generation—0
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation—0
Dual Embodied-Symbolic Concept Representations for Deep Learning—0
Dual ResGCN for Balanced Scene GraphGeneration—0
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams—0
Dynamic Relation Transformer for Contextual Text Block Detection—0
Dynamic Scene Graph Generation via Anticipatory Pre-Training—0
EDGE++: Improved Training and Sampling of EDGE—0
EDoG: Adversarial Edge Detection For Graph Neural Networks—0
Effective Decoding in Graph Auto-Encoder using Triadic Closure—0
Effects of Graph Generation for Unsupervised Non-Contextual Single Document Keyword Extraction—0
Efficient Dynamic Attributed Graph Generation—0
Enhanced Data Transfer Cooperating with Artificial Triplets for Scene Graph Generation—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Ensemble Predicate Decoding for Unbiased Scene Graph Generation—0
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Benchmark Results

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