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GraphSAGE

Papers archive 2025-07-28

archive papers tagged: 132 · with a code link: 52 · where Syntology ran a sample: 15 (12 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument) Syntology

Show: all tagged papersonly where code ran (15 of 132 tagged: 12 with a run with no instrument failure, 3 where every run was a failure of Syntology's instrument)

Page 2 of 2: papers 101 to 132 of 132, newest first by the archive's date (ties by slug), in archive order.

Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.

• BI-REC: Guided Data Analysis for Conversational Business Intelligence
  2 May 2021 · 0 repositories · arXiv:2105.00467
• User Preference-aware Fake News Detection
  25 Apr 2021 · 2 repositories · arXiv:2104.12259
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Predicting Mergers and Acquisitions using Graph-based Deep Learning
  5 Apr 2021 · 0 repositories · arXiv:2104.01757
• E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT
  30 Mar 2021 · 3 repositories · arXiv:2103.16329
  Syntology community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Benchmarking Graph Neural Networks on Link Prediction
  24 Feb 2021 · 0 repositories · arXiv:2102.12557
• GIST: Distributed Training for Large-Scale Graph Convolutional Networks
  20 Feb 2021 · 1 repository · arXiv:2102.10424
  Syntology 2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features
  14 Jan 2021 · 0 repositories · arXiv:2101.05866
• ADiag: Graph Neural Network Based Diagnosis of Alzheimer's Disease
  8 Jan 2021 · 0 repositories · arXiv:2101.02870
• Single-Node Attacks for Fooling Graph Neural Networks
  6 Nov 2020 · 1 repository · arXiv:2011.03574
• Graph Based Temporal Aggregation for Video Retrieval
  4 Nov 2020 · 1 repository · arXiv:2011.02426
• HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs
  9 Oct 2020 · 0 repositories · arXiv:2010.04558
• Accelerating Graph Sampling for Graph Machine Learning using GPUs
  14 Sep 2020 · 0 repositories · arXiv:2009.06693
• GTEA: Inductive Representation Learning on Temporal Interaction Graphs via Temporal Edge Aggregation
  11 Sep 2020 · 2 repositories · arXiv:2009.05266
• Learning Node Representations against Perturbations
  26 Aug 2020 · 1 repository · arXiv:2008.11416
• SCE: Scalable Network Embedding from Sparsest Cut
  30 Jun 2020 · 1 repository · arXiv:2006.16499
  Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 7 harvested samples) · 2 pointer-only (licence)
• Graph Representation Learning Network via Adaptive Sampling
  8 Jun 2020 · 1 repository · arXiv:2006.04637
• Pooling in Graph Convolutional Neural Networks
  7 Apr 2020 · 0 repositories · arXiv:2004.03519
• SWAG: Item Recommendations using Convolutions on Weighted Graphs
  22 Nov 2019 · 0 repositories · arXiv:1911.10232
• Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview
  1 Aug 2019 · 0 repositories · arXiv:1908.00187
• DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  25 Jul 2019 · 7 repositories · arXiv:1907.10903
  Syntology community repositories only · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 5 harvested samples)
• Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach
  13 Jun 2019 · 0 repositories · arXiv:1906.05546
• Approximation Ratios of Graph Neural Networks for Combinatorial Problems
  24 May 2019 · 0 repositories · arXiv:1905.10261
• Adversarial Defense Framework for Graph Neural Network
  9 May 2019 · 0 repositories · arXiv:1905.03679
• Learning Graph Neural Networks with Noisy Labels
  5 May 2019 · 0 repositories · arXiv:1905.01591
• BIGSAGE: unsupervised inductive representation learning of graph via bi-attended sampling and global-biased aggregating
  1 May 2019 · 0 repositories
• Advancing GraphSAGE with A Data-Driven Node Sampling
  29 Apr 2019 · 1 repository · arXiv:1904.12935
• Clique pooling for graph classification
  31 Mar 2019 · 1 repository · arXiv:1904.00374
• Constant Time Graph Neural Networks
  23 Jan 2019 · 0 repositories · arXiv:1901.07868
• How Powerful are Graph Neural Networks?
  1 Oct 2018 · 19 repositories · arXiv:1810.00826
  Syntology official (archive's flag): 2 ran · 6 ran (of which 2 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 10 harvested samples) · 5 pointer-only (licence)
• N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification
  24 Feb 2018 · 1 repository · arXiv:1802.08888
• Network of Graph Convolutional Networks Trained on Random Walks
  1 Jan 2018 · 0 repositories
• Inductive Representation Learning on Large Graphs
  7 Jun 2017 · 20 repositories · arXiv:1706.02216
  Syntology community repositories only · 3 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 5 harvested samples) · 5 pointer-only (licence)