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Effect of Choosing Loss Function when Using T-batching for
  Representation Learning on Dynamic Networks

Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks

13 August 2023
Erfan Loghmani
MohammadAmin Fazli
ArXivPDFHTML

Papers citing "Effect of Choosing Loss Function when Using T-batching for Representation Learning on Dynamic Networks"

2 / 2 papers shown
Title
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and
  Heterogeneous Graphs
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
J. Gastinger
Shenyang Huang
Mikhail Galkin
Erfan Loghmani
Ali Parviz
...
Emanuele Rossi
Ioannis Koutis
Heiner Stuckenschmidt
Reihaneh Rabbany
Guillaume Rabusseau
43
6
0
14 Jun 2024
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
Moritz Lampert
Christopher Blöcker
Ingo Scholtes
19
1
0
07 Jun 2024
1