Inductive Link Prediction

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 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

3 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

23 shown of 23 papers with code (32 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.

• Neighborhood-aware Scalable Temporal Network Representation Learning
  2 Sep 2022 2 repositories listed Syntology ran 0 of 8 samples · 8 unverified
  Such a dictionary representation records a downsampled set of the neighboring nodes as keys, and allows fast construction of structural features for a joint neighborhood of multiple nodes.
• Improving Inductive Link Prediction Using Hyper-Relational Facts
  10 Jul 2021 2 repositories listed
  In this work, we classify different inductive settings and study the benefits of employing hyper-relational KGs on a wide range of semi- and fully inductive link prediction tasks powered by recent advancements in graph…
• Inductive Entity Representations from Text via Link Prediction
  7 Oct 2020 2 repositories listed Syntology ran 0 of 7 samples · 7 unverified
  However, the extent to which these representations learned for link prediction generalize to other tasks is unclear.
• Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
  26 Mar 2025 1 repository listed
  The results highlight the superiority of the n-ary subgraph reasoning framework and the exceptional inductive ability of NS-HART.
• Leap: Inductive Link Prediction via Learnable TopologyAugmentation
  5 Mar 2025 1 repository listed
  Link prediction is a crucial task in many downstream applications of graph machine learning.
• Reevaluation of Inductive Link Prediction
  30 Sep 2024 1 repository listed
  Within this paper, we show that the evaluation protocol currently used for inductive link prediction is heavily flawed as it relies on ranking the true entity in a small set of randomly sampled negative entities.
• MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction
  12 Jun 2024 1 repository listed
  Drug-target interaction (DTI) prediction is crucial for identifying new therapeutics and detecting mechanisms of action.
• Multi-Label Zero-Shot Product Attribute-Value Extraction
  13 Feb 2024 1 repository listed
  We propose HyperPAVE, a multi-label zero-shot attribute value extraction model that leverages inductive inference in heterogeneous hypergraphs.
• Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks
  16 Dec 2023 1 repository listed
  Embedding-based models usually need fine-tuning on new entity embeddings, and hence are difficult to be directly applied to inductive link prediction tasks.
• Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
  20 Oct 2023 1 repository listed
  To address these issues, we propose a novel knowledge graph reasoning approach, the Relational rUle eNhanced Graph Neural Network (RUN-GNN).
• A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs
  18 Oct 2023 1 repository listed
  Semi-inductive link prediction (LP) in knowledge graphs (KG) is the task of predicting facts for new, previously unseen entities based on context information.
• Event Prediction using Case-Based Reasoning over Knowledge Graphs
  21 Sep 2023 1 repository listed
  To generalize our methods beyond the domain of event prediction, we frame our task as a 2-hop LP task, where the first hop is a causal relation connecting a cause event to a new effect event and the second hop is a…
• Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach
  26 Jun 2023 1 repository listed
  Previous methods are limited to transductive scenarios, where entities exist in the knowledge graphs, so they are unable to handle unseen entities.
• Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types
  2 Feb 2023 1 repository listed Syntology ran 0 of 6 samples · 6 unverified
  The task of fully inductive link prediction in knowledge graphs has gained significant attention, with various graph neural networks being proposed to address it.
• IRT2: Inductive Linking and Ranking in Knowledge Graphs of Varying Scale
  2 Jan 2023 1 repository listed
  Our focus is on inductive link prediction models as a basis for practical tools that support knowledge engineers with exploring text collections and discovering and linking new (so-called open-world) entities to the…
• RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
  21 Nov 2022 1 repository listed
  In this work, a novel Relation Aware Inductive Link preDiction (RAILD) is proposed for KG completion which learns representations for both unseen entities and unseen relations.
• Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction
  3 Sep 2022 1 repository listed
  A more challenging scenario is that emerging KGs consist of only unseen entities, called as disconnected emerging KGs (DEKGs).
• Subgraph Neighboring Relations Infomax for Inductive Link Prediction on Knowledge Graphs
  28 Jul 2022 1 repository listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  Inductive link prediction for knowledge graph aims at predicting missing links between unseen entities, those not shown in training stage.
• An Open Challenge for Inductive Link Prediction on Knowledge Graphs
  3 Mar 2022 1 repository listed
  An emerging trend in representation learning over knowledge graphs (KGs) moves beyond transductive link prediction tasks over a fixed set of known entities in favor of inductive tasks that imply training on one graph…
• How Neural Processes Improve Graph Link Prediction
  30 Sep 2021 1 repository listed
  Link prediction is a fundamental problem in graph data analysis.
• Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs
  5 Mar 2021 1 repository listed Syntology ran 4 of 6 samples · 2 unverified · 6 pointer-only (licence)
  TACT is inspired by the observation that the semantic correlation between two relations is highly correlated to their topological structure in knowledge graphs.
• Inductive Link Prediction for Nodes Having Only Attribute Information
  16 Jul 2020 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  In attributed graphs, both the structure and attribute information can be utilized for link prediction.
• DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
  31 Oct 2019 1 repository listed
  Despite the importance of inductive link prediction, most previous works focused on transductive link prediction and cannot manage previously unseen entities.

Syntology lines on 6 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.