Part 2 on Shindo et al.'s work extending dILP.
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| Homepage | https://labs.engineering.asu.edu/labv2/ |
Lab V2
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Lab V2 is an ASU Lab focused on the intersection of symbolic AI and machine learning. Lab V2 is directed by @pshak02
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Pt 1 on dILP for structured examples; an ILP method for dealing that allows arbitrary functions.
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(Pt. 1) How can you learn logical relationships with a neural network?
Part 2 on deduction for cross-KG entailment.
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Deductive Reasoning for Cross-Knowledge Graph Entailment pt 2
Today part 1 in a series on deductive reasoning for cross-KG entailment.
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Deductive Reasoning for Cross-Knowledge Graph Entailment pt 1
RT @PauloShakASU
If you are at @RealAAAI either in-person or virtual, don't miss our tutorial on #neurosymbolic AI this morning.
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If you are at @RealAAAI either in-person or virtual, don't miss our tutorial on #neurosymbolic AI this morning.
@cbaral @gerrysimari @SCAI_ASU @asu_gsi
Today's video we have @GustavSheer presenting lifted relational neural networks.
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Beyond Graph Neural Networks with Lifted Relational Neural Networks
We finish our series on the original dILP paper with some in-class discussion.
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Differentiable ILP Pt 6: Q&A
In part 5 of our dILP series, we look at the experiments of the original paper.
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Differentiable ILP Pt 5: Experiments
Check out our discussion on the complexity of dILP (pt 4 of our series).
https://youtu.be/SOnAE0EyX8c
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Differentiable ILP Pt 4: Complexity
Check out part 3 in our dILP series.
https://youtu.be/X3Sh8lFIcRE
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