Inductive Learning

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 66 papers with code (153 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.

• Deep Graph Infomax
  27 Sep 2018 11 repositories listed Syntology ran 24 of 35 samples · 11 unverified · 9 pointer-only (licence)
  We present Deep Graph Infomax (DGI), a general approach for learning node representations within graph-structured data in an unsupervised manner.
• GraphSAINT: Graph Sampling Based Inductive Learning Method
  10 Jul 2019 8 repositories listed
  Graph Convolutional Networks (GCNs) are powerful models for learning representations of attributed graphs.
• Representation Learning for Attributed Multiplex Heterogeneous Network
  5 May 2019 4 repositories listed Syntology ran 0 of 6 samples · 6 unverified · 1 pointer-only (licence)
  Network embedding (or graph embedding) has been widely used in many real-world applications.
• Deep Graph Contrastive Representation Learning
  7 Jun 2020 3 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Moreover, our unsupervised method even surpasses its supervised counterparts on transductive tasks, demonstrating its great potential in real-world applications.
• Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive Learning
  2 May 2023 2 repositories listed
  Solving Constrained Horn Clauses (CHCs) is a fundamental challenge behind a wide range of verification and analysis tasks.
• INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
  6 Feb 2023 2 repositories listed Syntology ran 0 of 13 samples · 13 unverified
  It aims to infer knowledge for (the things at) unobserved locations using the data from (the things at) observed locations during a given time period of interest.
• FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data
  14 Feb 2022 2 repositories listed
  FOLD-RM is an automated inductive learning algorithm for learning default rules for mixed (numerical and categorical) data.
• Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
  21 Jan 2021 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  The complexity and streaming nature of social messages make it appealing to address social event detection in an incremental learning setting, where acquiring, preserving, and extending knowledge are major concerns.
• GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
  11 Sep 2020 2 repositories listed
  In this paper, we propose the Graph Temporal Edge Aggregation (GTEA) framework for inductive learning on Temporal Interaction Graphs (TIGs).
• Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
  21 Jun 2020 2 repositories listed Syntology ran 3 of 14 samples · 11 unverified
  In this paper, we propose an end-to-end graph learning framework, namely Iterative Deep Graph Learning (IDGL), for jointly and iteratively learning graph structure and graph embedding.
• Is deep learning necessary for simple classification tasks?
  11 Jun 2020 2 repositories listed
  providing a head-to-head comparison of AutoML and DL in the context of binary classification on 6 well-characterized public datasets, and (2.)
• Deep Hyperedges: a Framework for Transductive and Inductive Learning on Hypergraphs
  7 Oct 2019 2 repositories listed
  From social networks to protein complexes to disease genomes to visual data, hypergraphs are everywhere.
• Neural Logic Machines
  26 Apr 2019 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  We propose the Neural Logic Machine (NLM), a neural-symbolic architecture for both inductive learning and logic reasoning.
• Learning Role-based Graph Embeddings
  7 Feb 2018 2 repositories listed
  Random walks are at the heart of many existing network embedding methods.
• Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback
  13 Jan 2025 1 repository listed
  In this paper, we propose an offline algorithm based on inductive logic programming from noisy examples to extract task specifications (i.
• Graph Neural Networks for modelling breast biomechanical compression
  10 Nov 2024 1 repository listed
  Although Finite Element Analysis (FEA) is reliable for approximating soft tissue deformation, it struggles with balancing accuracy and computational efficiency.
• A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
  26 Sep 2024 1 repository listed
  The goal of generalized few-shot semantic segmentation (GFSS) is to recognize novel-class objects through training with a few annotated examples and the base-class model that learned the knowledge about the base classes.
• Unsupervised Graph Representation Learning with Inductive Shallow Node Embedding
  12 Jul 2024 1 repository listed
  Another contribution is a mathematical lower bound to quantify the robustness of node embeddings, confirming its advantage over traditional shallow embedding methods, particularly in the presence of parameter noise.
• Solving the Tree Containment Problem Using Graph Neural Networks
  15 Apr 2024 1 repository listed
  In particular, we propose to combine the given network and the tree and apply a Graph Neural Network to this network-tree graph.
• FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
  28 Feb 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  This paper presents FlowCyt, the first comprehensive benchmark for multi-class single-cell classification in flow cytometry data.
• Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
  1 Sep 2023 1 repository listed
  However, we notice that this paradigm leads to the inevitable non-identifiability and explainability overfitting problem, which is harmful to the quantification of learners' cognitive states and the quality of web…
• Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
  10 Jul 2023 1 repository listed Syntology ran 6 of 7 samples · 1 unverified · 1 pointer-only (licence)
  Constraint satisfaction problems (CSPs) are about finding values of variables that satisfy the given constraints.
• InGram: Inductive Knowledge Graph Embedding via Relation Graphs
  31 May 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverified · 3 pointer-only (licence)
  In this paper, we propose an INductive knowledge GRAph eMbedding method, InGram, that can generate embeddings of new relations as well as new entities at inference time.
• Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning
  2 Apr 2023 1 repository listed
  Most previous TKGC methods only consider predicting the missing links among the entities seen in the training set, while they are unable to achieve great performance in link prediction concerning newly-emerged unseen…
• On-the-Fly Category Discovery
  1 Jan 2023 1 repository listed
  Our code is available at https://github.
• Learning to Learn Better for Video Object Segmentation
  5 Dec 2022 1 repository listed
  Recently, the joint learning framework (JOINT) integrates matching based transductive reasoning and online inductive learning to achieve accurate and robust semi-supervised video object segmentation (SVOS).
• Distribution Free Prediction Sets for Node Classification
  26 Nov 2022 1 repository listed
  Graph Neural Networks (GNNs) are able to achieve high classification accuracy on many important real world datasets, but provide no rigorous notion of predictive uncertainty.
• What do Large Language Models Learn beyond Language?
  21 Oct 2022 1 repository listed
  Large language models (LMs) have rapidly become a mainstay in Natural Language Processing.
• Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
  23 Jul 2022 1 repository listed
  To avoid retraining an entire model on the whole KGs whenever new entities and triples come, we present a continual alignment method for this task.
• Video Capsule Endoscopy Classification using Focal Modulation Guided Convolutional Neural Network
  16 Jun 2022 1 repository listed
  We compare our FocalConvNet with other SOTA on Kvasir-Capsule, a large-scale VCE dataset with 44, 228 frames with 13 classes of different anomalies.

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.