First, if the walks are on a Cartesian grid, then there is a bipartitioning of the network into 2 subsets (say A & B) of sites each consisting of the neighbors of others. The 2 walkers then remain on different sets A & B if they start on different sets, so that the probability of meeting on the same site is 0 -- as already noted by D. Zare above. If a non-bipartite grid (say the triangular grid) is used for the random walk, then this qualification would not apply.
Second, in 1 dim starting on the same (say even) subset of sites, the pair of walkers is equivalent to a single walk taking steps of -2, 0, or +2 with respective probabilities 1/4, 1/2, 1/4 -- and the question devolves to whether this new single walk will ever hit the origin (given that the initial distance from the origin is even). Polya's proof tells us that this new walk will eventually hit the origin with ultimate certainty.
Third, in 2 dim starting on the same subset of sites, the pair of (original) walkers is equivalent to a single walk taking steps of appropriate sizes -- if the step for original walker 1 is s(1) & for original walker 2 is s(2), with joint probability (1/4)x(1/4), then the new walk takes a step S with a probability which is 1/16 times the number of (ordered) pairs s(1) & s(2) which add to give S. Again Polya's proof tells us that the ultimate probability of the new walk hitting the origin is 1.
In higher dimensions the probability again following Polya is strictly less than 1.
The whole idea is that Polya's proof is robust under certain modifications to the random walk. In 2-dim the walk can be modified to have different probabilities for horizontal & vertical steps -- or diagonal steps can also be allowed (though then the "parity" considerations do not apply). Polya's proof however fails if the walk is given an "inversion-nonsymmetric" bias, say with different probabilities in the east & west (or north & south) directions. It also seems to me that if the walk is on a fractal grid, that the certain return should be for dim less than or equal to 2, while uncertain return should apply for dim 2+eps for all eps>0. Questions of what happens with a Cartesian grid for which edges are randomly deleted (with some probability p) also seems interesting -- and I think has perhaps been considered in connection with "percolation theory".