Graph Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 326 papers with code (712 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Junction Tree Variational Autoencoder for Molecular Graph Generation
  12 Feb 2018 11 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We evaluate our model on multiple tasks ranging from molecular generation to optimization.
• Unbiased Scene Graph Generation from Biased Training
  27 Feb 2020 6 repositories listed Syntology ran 3 of 6 samples · 3 unverified · 6 pointer-only (licence)
  Today's scene graph generation (SGG) task is still far from practical, mainly due to the severe training bias, e.
• Learning to Compose Dynamic Tree Structures for Visual Contexts
  5 Dec 2018 6 repositories listed Syntology ran 4 of 14 samples · 10 unverified
  We propose to compose dynamic tree structures that place the objects in an image into a visual context, helping visual reasoning tasks such as scene graph generation and visual Q&A.
• Scene Graph Generation by Iterative Message Passing
  10 Jan 2017 5 repositories listed Syntology ran 3 of 5 samples · 2 unverified · 3 pointer-only (licence)
  In this work, we explicitly model the objects and their relationships using scene graphs, a visually-grounded graphical structure of an image.
• Structured Sparse R-CNN for Direct Scene Graph Generation
  21 Jun 2021 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The key to our method is a set of learnable triplet queries and a structured triplet detector which could be jointly optimized from the training set in an end-to-end manner.
• Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation
  1 Apr 2021 4 repositories listed
  Scene graph generation is an important visual understanding task with a broad range of vision applications.
• STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery
  13 Jun 2024 3 repositories listed
  This paper constructs a large-scale dataset for SGG in large-size VHR SAI with image sizes ranging from 512 x 768 to 27, 860 x 31, 096 pixels, named STAR (Scene graph generaTion in lArge-size satellite imageRy),…
• 4D Panoptic Scene Graph Generation
  16 May 2024 3 repositories listed Syntology ran 13 of 14 samples · 1 unverified · 10 pointer-only (licence)
  To facilitate research in this new area, we build a richly annotated PSG-4D dataset consisting of 3K RGB-D videos with a total of 1M frames, each of which is labeled with 4D panoptic segmentation masks as well as…
• Panoptic Video Scene Graph Generation
  28 Nov 2023 3 repositories listed Syntology ran 11 of 11 samples · 0 unverified · 3 pointer-only (licence)
  PVSG relates to the existing video scene graph generation (VidSGG) problem, which focuses on temporal interactions between humans and objects grounded with bounding boxes in videos.
• RLIPv2: Fast Scaling of Relational Language-Image Pre-training
  18 Aug 2023 3 repositories listed Syntology ran 22 of 30 samples · 8 unverified
  In this paper, we propose RLIPv2, a fast converging model that enables the scaling of relational pre-training to large-scale pseudo-labelled scene graph data.
• RAF: Holistic Compilation for Deep Learning Model Training
  8 Mar 2023 3 repositories listed
  In this paper, we present RAF, a deep learning compiler for training.
• Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
  8 Feb 2023 3 repositories listed Syntology ran 3 of 10 samples · 7 unverified
  Importantly, we demonstrate that the geometry-complete denoising process of GCDM learned for 3D molecule generation enables the model to generate a significant proportion of valid and energetically-stable large…
• SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
  30 Nov 2022 3 repositories listed
  However, it is difficult to draw a proper scene graph for image retrieval, image generation, and multi-modal applications.
• DiGress: Discrete Denoising diffusion for graph generation
  29 Sep 2022 3 repositories listed Syntology ran 15 of 25 samples · 10 unverified
  This work introduces DiGress, a discrete denoising diffusion model for generating graphs with categorical node and edge attributes.
• FastFlows: Flow-Based Models for Molecular Graph Generation
  28 Jan 2022 3 repositories listed
  We propose a framework using normalizing-flow based models, SELF-Referencing Embedded Strings, and multi-objective optimization that efficiently generates small molecules.
• Molecule Generation by Principal Subgraph Mining and Assembling
  29 Jun 2021 3 repositories listed Syntology ran 2 of 6 samples · 4 unverified
  Molecule generation is central to a variety of applications.
• Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
  6 Jul 2020 3 repositories listed Syntology ran 5 of 7 samples · 2 unverified · 1 pointer-only (licence)
  We further propose an Adaptive Graph Convolutional Recurrent Network (AGCRN) to capture fine-grained spatial and temporal correlations in traffic series automatically based on the two modules and recurrent networks.
• Image-Conditioned Graph Generation for Road Network Extraction
  31 Oct 2019 3 repositories listed
  For this, we introduce the Toulouse Road Network dataset, based on real-world publicly-available data.
• GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  28 May 2019 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified
  We propose GraphNVP, the first invertible, normalizing flow-based molecular graph generation model.
• Knowledge-Embedded Routing Network for Scene Graph Generation
  8 Mar 2019 3 repositories listed Syntology ran 3 of 8 samples · 5 unverified
  More specifically, we show that the statistical correlations between objects appearing in images and their relationships, can be explicitly represented by a structured knowledge graph, and a routing mechanism is learned…
• LinkNet: Relational Embedding for Scene Graph
  15 Nov 2018 3 repositories listed
  In this paper, we present a method that improves scene graph generation by explicitly modeling inter-dependency among the entire object instances.
• Graph R-CNN for Scene Graph Generation
  1 Aug 2018 3 repositories listed
  We propose a novel scene graph generation model called Graph R-CNN, that is both effective and efficient at detecting objects and their relations in images.
• GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
  24 Feb 2018 3 repositories listed Syntology ran 1 of 19 samples · 18 unverified
  Modeling and generating graphs is fundamental for studying networks in biology, engineering, and social sciences.
• Pixels to Graphs by Associative Embedding
  22 Jun 2017 3 repositories listed
  Graphs are a useful abstraction of image content.
• DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement
  18 Jun 2025 2 repositories listed Syntology ran 1 of 19 samples · 18 unverified · 19 pointer-only (licence)
  To address this, we introduce a new task, Discourse-level text Scene Graph parsing (DiscoSG), supported by our dataset DiscoSG-DS, which comprises 400 expert-annotated and 8, 430 synthesised multi-sentence caption-graph…
• Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees
  12 Jul 2024 2 repositories listed
  Generating novel molecules is challenging, with most representations leading to generative models producing many invalid molecules.
• Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
  3 Mar 2024 2 repositories listed
  Graph generation has emerged as a crucial task in machine learning, with significant challenges in generating graphs that accurately reflect specific properties.
• Graph Condensation: A Survey
  22 Jan 2024 2 repositories listed
  We also empirically compare and analyze representative GC methods with diverse optimization strategies based on the five proposed GC evaluation criteria.
• Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
  31 Aug 2023 2 repositories listed
  As the field of Large Language Models (LLMs) evolves at an accelerated pace, the critical need to assess and monitor their performance emerges.
• SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
  4 Jul 2023 2 repositories listed Syntology ran 4 of 12 samples · 8 unverified
  Diffusion models based on permutation-equivariant networks can learn permutation-invariant distributions for graph data.

Syntology lines on 17 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.