Causal deconfounding for robust link prediction in multimodal knowledge networks
Link prediction in multimodal knowledge networks jointly exploits topology, text, and images, but visual backgrounds may introduce spurious correlations that reduce robustness under distribution shift. We propose MKGC-CSR, a causal deconfounding framework that models visual context as a confounder and approximates back...