Graph Reconstruction

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

2 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 41 papers with code (88 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.

• GLEE: Geometric Laplacian Eigenmap Embedding
  23 May 2019 3 repositories listed
  Graph embedding seeks to build a low-dimensional representation of a graph G.
• Graph Parsing Networks
  22 Feb 2024 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  GPN benefits from the discrete assignments generated by the graph parsing algorithm, allowing good memory efficiency while preserving node information intact.
• Information Recovery-Driven Deep Incomplete Multiview Clustering Network
  2 Apr 2023 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Concretely, a two-stage autoencoder network with the self-attention structure is built to synchronously extract high-level semantic representations of multiple views and recover the missing data.
• TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification
  13 Mar 2023 2 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Then, we propose the Graph Prototype Contrastive learning (GPC) to mine the most typical graph features (graph prototypes) of each identity, and contrast the inherent similarity between graph representations and…
• Local2Global: Scaling global representation learning on graphs via local training
  26 Jul 2021 2 repositories listed
  Our local2global approach proceeds by first dividing the input graph into overlapping subgraphs (or "patches") and training local representations for each patch independently.
• Edge Representation Learning with Hypergraphs
  30 Jun 2021 2 repositories listed
  This dual hypergraph construction allows us to apply message-passing techniques for node representations to edges.
• Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
  9 Jun 2021 2 repositories listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)
  We propose the systematic use of symmetric spaces in representation learning, a class encompassing many of the previously used embedding targets.
• GloDyNE: Global Topology Preserving Dynamic Network Embedding
  5 Aug 2020 2 repositories listed
  The main and common objective of Dynamic Network Embedding (DNE) is to efficiently update node embeddings while preserving network topology at each time step.
• Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference
  11 Dec 2019 2 repositories listed
  This paper tackles a 2D architecture vectorization problem, whose task is to infer an outdoor building architecture as a 2D planar graph from a single RGB image.
• DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding
  27 Jul 2019 2 repositories listed
  Dynamic network embedding aims to learn low dimensional embeddings for unseen and seen nodes by using any currently available snapshots of a dynamic network.
• Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer
  11 Jun 2019 2 repositories listed
  A recent study showed that using the graphical structure underlying EHR data (e.
• EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
  26 Jun 2025 1 repository listed
  Graph-based Retrieval-Augmented Generation (Graph-RAG) enhances large language models (LLMs) by structuring retrieval over an external corpus.
• CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models
  22 May 2025 1 repository listed Syntology ran 2 of 18 samples · 16 unverified
  Causal discovery for dynamical systems poses a major challenge in fields where active interventions are infeasible.
• GRAIN: Exact Graph Reconstruction from Gradients
  3 Mar 2025 1 repository listed Syntology ran 1 of 6 samples · 5 unverified
  Federated learning claims to enable collaborative model training among multiple clients with data privacy by transmitting gradient updates instead of the actual client data.
• Large-Scale Targeted Cause Discovery with Data-Driven Learning
  29 Aug 2024 1 repository listed Syntology ran 11 of 14 samples · 3 unverified
  We propose a novel machine learning approach for inferring causal variables of a target variable from observations.
• Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
  22 Aug 2024 1 repository listed
  In this study, we introduce a self-supervised method for learning representations of temporal networks and employ these representations in the dynamic link prediction task.
• Exploring the Individuality and Collectivity of Intents behind Interactions for Graph Collaborative Filtering
  15 May 2024 1 repository listed
  To counter the sparsity of implicit feedback, the feature distributions of users and items are encoded via a Gaussian-based graph generation strategy, and we implement the recommendation process through bilateral…
• Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting
  1 Feb 2024 1 repository listed Syntology ran 2 of 6 samples · 4 unverified · 6 pointer-only (licence)
  Next, the traffic data of the data-scarce target city could query the traffic pattern bank, facilitating the aggregation of meta-knowledge.
• Normed Spaces for Graph Embedding
  3 Dec 2023 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Theoretical results from discrete geometry suggest that normed spaces can abstractly embed finite metric spaces with surprisingly low theoretical bounds on distortion in low dimensions.
• Constraint-Free Structure Learning with Smooth Acyclic Orientations
  15 Sep 2023 1 repository listed
  The structure learning problem consists of fitting data generated by a Directed Acyclic Graph (DAG) to correctly reconstruct its arcs.
• Generative Contrastive Graph Learning for Recommendation
  11 Jul 2023 1 repository listed
  Second, feature augmentation imposes the same scale noise augmentation on each node, which neglects the unique characteristics of nodes on the graph.
• On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
  15 Jun 2023 1 repository listed Syntology ran 14 of 23 samples · 9 unverified · 1 pointer-only (licence)
  Although powerful graph neural networks (GNNs) have boosted numerous real-world applications, the potential privacy risk is still underexplored.
• Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds
  15 Jun 2023 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Network embedding, a graph representation learning method illustrating network topology by mapping nodes into lower-dimension vectors, is challenging to accommodate the ever-changing dynamic graphs in practice.
• Data Imputation with Iterative Graph Reconstruction
  6 Dec 2022 1 repository listed
  Instead of treating all samples equally, we introduce the concept: ``friend networks" to represent different relations among samples.
• An open unified deep graph learning framework for discovering drug leads
  6 Dec 2022 1 repository listed
  However, this is non-ideal, as clumsy integration of incompatible models increases research overheads, and may even reduce success rates in drug discovery.
• Private Graph Extraction via Feature Explanations
  29 Jun 2022 1 repository listed
  Based on the different kinds of auxiliary information available to the adversary, we propose several graph reconstruction attacks.
• Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
  27 May 2022 1 repository listed Syntology ran 2 of 4 samples · 2 unverified
  To address this challenge, cross-city knowledge transfer has shown its promise, where the model learned from data-sufficient cities is leveraged to benefit the learning process of data-scarce cities.
• Multi-Task Text Classification using Graph Convolutional Networks for Large-Scale Low Resource Language
  2 May 2022 1 repository listed
  Graph Convolutional Networks (GCN) have achieved state-of-art results on single text classification tasks like sentiment analysis, emotion detection, etc.
• Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction
  18 Feb 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Graph neural networks (GNNs) have drawn significant research attention recently, mostly under the setting of semi-supervised learning.
• HEAT: Holistic Edge Attention Transformer for Structured Reconstruction
  30 Nov 2021 1 repository listed
  This paper presents a novel attention-based neural network for structured reconstruction, which takes a 2D raster image as an input and reconstructs a planar graph depicting an underlying geometric structure.

Syntology lines on 13 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.