Link Sign Prediction

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

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

9 shown of 9 papers with code (21 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.

• CSGDN: Contrastive Signed Graph Diffusion Network for Predicting Crop Gene-phenotype Associations
  10 Oct 2024 1 repository listed
  Positive and negative association prediction between gene and phenotype helps to illustrate the underlying mechanism of complex traits in organisms.
• Self-Explainable Graph Transformer for Link Sign Prediction
  16 Aug 2024 1 repository listed Syntology ran 3 of 9 samples · 6 unverified · 9 pointer-only (licence)
  Our goal is to address the explainability of decision-making for the downstream task of link sign prediction specific to signed graph neural networks.
• Enhancing Signed Graph Neural Networks through Curriculum-Based Training
  17 Oct 2023 1 repository listed
  The prevailing training approach feeds samples (edges) to models in a random order, resulting in equal contributions from each sample during the training process, but fails to account for varying learning difficulties…
• SSSNET: Semi-Supervised Signed Network Clustering
  13 Oct 2021 1 repository listed Syntology ran 1 of 13 samples · 12 unverified
  Node embeddings are a powerful tool in the analysis of networks; yet, their full potential for the important task of node clustering has not been fully exploited.
• Signed Bipartite Graph Neural Networks
  22 Aug 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Signed bipartite networks are different from classical signed networks, which contain two different node sets and signed links between two node sets.
• Decoupled Variational Embedding for Signed Directed Networks
  28 Aug 2020 1 repository listed
  Comprehensive results on both link sign prediction and node recommendation task demonstrate the effectiveness of DVE.
• Learning Opinion Dynamics From Social Traces
  2 Jun 2020 1 repository listed
  In this work we propose an inference mechanism for fitting a generative, agent-like model of opinion dynamics to real-world social traces.
• Signed Graph Attention Networks
  26 Jun 2019 1 repository listed
  We evaluate the proposed SiGAT method by applying it to the signed link prediction task.
• Deep Network Embedding for Graph Representation Learning in Signed Networks
  7 Jan 2019 1 repository listed
  As an effective approach to solve graph mining problems, network embedding aims to learn a low-dimensional feature vector representation for each node of a given network.

Syntology lines on 3 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.