Edge Classification

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (56 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.

• EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
  26 Feb 2019 10 repositories listed Syntology ran 3 of 11 samples · 8 unverified · 1 pointer-only (licence)
  Existing approaches typically resort to node embeddings and use a recurrent neural network (RNN, broadly speaking) to regulate the embeddings and learn the temporal dynamics.
• 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.
• Global Self-Attention as a Replacement for Graph Convolution
  7 Aug 2021 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  The resultant framework - which we call Edge-augmented Graph Transformer (EGT) - can directly accept, process and output structural information of arbitrary form, which is important for effective learning on…
• Retrieval Augmented Generation using Engineering Design Knowledge
  13 Jul 2023 2 repositories listed
  For this task, we create a dataset of 375, 084 examples and fine-tune language models for relation identification (token classification) and elicitation (sequence-to-sequence).
• Graph Neural Network for Cell Tracking in Microscopy Videos
  9 Feb 2022 2 repositories listed
  By modeling the entire time-lapse sequence as a direct graph where cell instances are represented by its nodes and their associations by its edges, we extract the entire set of cell trajectories by looking for the…
• GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding
  12 Oct 2021 2 repositories listed
  Graph Representation Learning (GRL) methods opened new avenues for addressing complex, real-world problems represented by graphs.
• Adaptive Edge Attention for Graph Matching with Outliers
  19 Aug 2021 2 repositories listed
  To explore the potential of edges, EAGM learns edge attention on the assignment graph to 1) reveal the impact of each edge on graph matching, as well as 2) adjust the learning of edge representations adaptively.
• Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
  7 Jul 2020 2 repositories listed Syntology ran 1 of 8 samples · 7 unverified · 8 pointer-only (licence)
  Learning to infer graph representations and performing spatial reasoning in a complex surgical environment can play a vital role in surgical scene understanding in robotic surgery.
• LaneNet: Real-Time Lane Detection Networks for Autonomous Driving
  4 Jul 2018 2 repositories listed
  Lane detection is to detect lanes on the road and provide the accurate location and shape of each lane.
• Scaling Graph Neural Networks for Particle Track Reconstruction
  7 Apr 2025 1 repository listed
  Particle track reconstruction is an important problem in high-energy physics (HEP), necessary to study properties of subatomic particles.
• A GREAT Architecture for Edge-Based Graph Problems Like TSP
  29 Aug 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We can use such a trained GREAT model to produce sparse TSP graph instances, keeping only the edges GREAT finds promising.
• Edge Classification on Graphs: New Directions in Topological Imbalance
  17 Jun 2024 1 repository listed
  Our empirical studies confirm that TE effectively measures local class distribution variance, and indicate that prioritizing edges with high TE values can help address the issue of topological imbalance.
• DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs
  17 Jun 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Moreover, we conduct extensive benchmark experiments on DTGB, evaluating 7 popular dynamic graph learning algorithms and their variants of adapting to text attributes with LLM embeddings, along with 6 powerful large…
• Multi-Modal UAV Detection, Classification and Tracking Algorithm -- Technical Report for CVPR 2024 UG2 Challenge
  26 May 2024 1 repository listed Syntology ran 8 of 9 samples · 1 unverified
  Leveraging this information, we propose a multi-modal UAV detection, classification, and 3D tracking method for accurate UAV classification and tracking.
• High Pileup Particle Tracking with Object Condensation
  6 Dec 2023 1 repository listed Syntology ran 7 of 7 samples · 0 unverified
  Recent work has demonstrated that graph neural networks (GNNs) can match the performance of traditional algorithms for charged particle tracking while improving scalability to meet the computing challenges posed by the…
• 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking
  12 Aug 2023 1 repository listed
  Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning.
• Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks
  21 Feb 2023 1 repository listed Syntology ran 2 of 7 samples · 5 unverified
  Edges in many real-world social/information networks are associated with rich text information (e.
• A Framework for Large Scale Synthetic Graph Dataset Generation
  4 Oct 2022 1 repository listed
  Recently there has been increasing interest in developing and deploying deep graph learning algorithms for many tasks, such as fraud detection and recommender systems.
• Graph Representation Learning Beyond Node and Homophily
  3 Mar 2022 1 repository listed
  Unsupervised graph representation learning aims to distill various graph information into a downstream task-agnostic dense vector embedding.
• 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.
• Classifying Dyads for Militarized Conflict Analysis
  27 Sep 2021 1 repository listed
  We do this by devising a set of textual and graph-based features which represent each of the causes.
• STaCK: Sentence Ordering with Temporal Commonsense Knowledge
  6 Sep 2021 1 repository listed
  Sentence order prediction is the task of finding the correct order of sentences in a randomly ordered document.
• Charged particle tracking via edge-classifying interaction networks
  30 Mar 2021 1 repository listed Syntology ran 4 of 4 samples · 0 unverified · 4 pointer-only (licence)
  Recent work has demonstrated that geometric deep learning methods such as graph neural networks (GNNs) are well suited to address a variety of reconstruction problems in high energy particle physics.
• Unmixing Convolutional Features for Crisp Edge Detection
  19 Nov 2020 1 repository listed
  This paper presents a context-aware tracing strategy (CATS) for crisp edge detection with deep edge detectors, based on an observation that the localization ambiguity of deep edge detectors is mainly caused by the…
• Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints
  26 Oct 2020 1 repository listed
  To deploy machine learning-based algorithms for real-time applications with strict latency constraints, we consider an edge-computing setting where a subset of inputs are offloaded to the edge for processing by an…
• Shearlets as Feature Extractor for Semantic Edge Detection: The Model-Based and Data-Driven Realm
  27 Nov 2019 1 repository listed
  This is based on the fact that edges in images contain most of the semantic information.
• Dynamic Graph Convolutional Networks Using the Tensor M-Product
  16 Oct 2019 1 repository listed
  In recent years, a variety of graph neural networks (GNNs) have been successfully applied for representation learning and prediction on such graphs.

Syntology lines on 10 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.